OpenAI

About the team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Enterprise Platform team builds the systems that help our GTM teams bring OpenAI products to customers at scale. This role sits close to our emerging ads business, partnering with Ads Sales, Operations, Product, Finance, Legal, and Engineering to create reliable workflows for advertiser lifecycle, campaign readiness, approvals, and revenue operations. About the role Our GTM team helps customers understand the transformational potential of OpenAI’s models, and our internal systems should make that work faster, cleaner, and more intelligent. We’re looking for a Salesforce Ads Systems Engineer to design and build the Salesforce foundation for our ads business. You’ll partner with Ads Sales, Ads Operations, Product, Finance, Legal, and data teams to turn complex advertiser and campaign workflows into scalable, auditable systems. This is an execution-heavy, builder role. The primary charter of this role is ads GTM systems: advertiser account and opportunity workflows, campaign/order readiness, approvals, integrations, and automation that keep ads motions moving cleanly from pipeline through launch, billing, measurement, and reporting. In this role, you'll: - Build Salesforce solutions for ads GTM: Develop user experiences, objects, automations, and guardrails that help Ads Sales and Operations manage advertisers, opportunities, insertion orders, campaign readiness, approvals, and launch handoffs with high data quality. - Engineer integrations across the ads stack: Connect Salesforce with ads platforms, product catalogs, pricing/rate-card systems, data warehouses, billing tools, measurement workflows, CLM, and e-signature systems so advertiser and campaign data stays accurate and auditable. - Test, troubleshoot, and document: Resolve production issues quickly, strengthen observability, and maintain clear documentation aligned with ads operations, financial controls, privacy requirements, and deployment best practices. - Partner cross-functionally: Collaborate daily with Ads Sales, Ads Operations, Product, Finance, Legal, Engineering, and GTM teams to translate ambiguous ads-business needs into durable Salesforce-based solutions. You might thrive in this role if you have: - Advanced Salesforce development (Apex, async patterns, APIs) and data model expertise across account, opportunity, campaign/order, approval, billing, and reporting domains. - Proven experience designing and implementing robust integrations between Salesforce, ads platforms, data warehouses, billing systems, and operational tools. - Proven ability to build, test, document, and deploy scoped solutions using SDLC best practices in fast-moving, highly cross-functional environments. - Strong communication skills and a track record of partnering with Ads Sales, Operations, Product, Finance, Legal, and Engineering teams to deliver complex requirements. - Salesforce certifications (Platform Developer I/II, Application Architect) or prior experience in digital advertising, marketplaces, media, commerce, or high-growth SaaS businesses. Nice to Have - Familiarity with digital advertising concepts including advertiser onboarding, campaign setup/trafficking, insertion orders, rate cards, creative approvals, measurement, billing, and reconciliation. - Experience with ad-serving, measurement, data warehouse, or revenue operations integrations. - Software development experience outside Salesforce. - DevOps management, CI/CD ownership, or Salesforce platform release management. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and see

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role As a Security Engineer, Application Security you will be responsible for identifying and mitigating security vulnerabilities within software applications through building security tools, code reviews, penetration testing, and security assessments. We’re looking for people who will work closely with development teams to ensure secure coding practices are integrated throughout the software development lifecycle, preventing security risks before they emerge. You will also provide security guidance to developers and other stakeholders, fostering a culture of security awareness within the organization. The role is preferred to be based in San Francisco, Seattle or New York City but may consider remote work. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Perform Security Assessments: Conduct regular security assessments, code reviews, and penetration testing to identify vulnerabilities in applications and software. - Develop and Implement Security Tools: Design, develop, and implement security tools, frameworks, and methodologies to protect applications against security threats. - Collaborate with Development Teams: Work closely with development teams to ensure security best practices are integrated throughout the software development lifecycle (SDLC), including secure coding guidelines. - Threat Modeling and Risk Assessment: Conduct threat modeling and risk assessments to proactively identify potential risks and develop mitigation strategies. - Vulnerability Management: Track, analyze, and manage vulnerabilities in applications, providing guidance and support for remediation efforts. - Incident Response Support: Assist in investigating, analyzing, and responding to security incidents related to applications, ensuring timely resolution and documentation of incidents. - Stay Current on Security Trends: Continuously stay updated on the latest security threats, vulnerabilities, and technologies to enhance security measures in applications. You might thrive in this role if you: - Extensive experience in information security, cybersecurity, or a related field, with a significant portion of that experience in leadership or management roles. - Deep understanding of security technologies, tools, and best practices, including experience with secure coding practices, threat modeling, risk assessments, and incident response. - Experience in application security, software development, or related areas with a strong understanding of secure coding practices and application security frameworks. - Proficiency in programming languages (such as Python, Java, C++, etc.), knowledge of security tools (e.g., Burp Suite, OWASP ZAP), and familiarity with security protocols and encryption methods. - Strong written and verbal communication skills, with the ability to explain complex security issues to both technical and non-technical audiences About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spe

About the Team The Applied Foundations team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale. The Applied Foundations team is at the front lines of defending against financial abuse, scaled attacks, and other forms of misuse that could undermine the user experience or harm our operational stability. Integrity Foundations provides the core building blocks and infrastructure for this work. About the Role At OpenAI, our mission is to advance AI in a way that is safe, reliable, and aligned with broad societal values. The applied foundations role is crucial for maintaining the trustworthiness of our platforms. You will be pivotal in developing robust defenses against a spectrum of adversarial behaviors that threaten our ecosystem. In this role, you'll work with our entire engineering team to design and implement systems that detect and prevent abuse, promote user safety, and reduce risk across our platform. You'll be at the forefront of our efforts to ensure that the immense potential of AI is harnessed in a responsible and sustainable manner. In this role, you will: - Develop and enhance systems to detect and prevent various forms of abuse including financial fraud, botting, and scripting. - Collaborate with cross-functional teams to design solutions that protect against and mitigate adversarial attacks without compromising user experience. - Assist with response to active incidents on the platform and build new tooling and infrastructure that address the fundamental problems. You might thrive in this role if you: - Have at least 3 years of professional software engineering experience. - Have experience setting up and maintaining production backend services and data pipelines. - Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed. - Are self-directed and enjoy figuring out the best way to solve a particular problem - Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done. - Care about AI Safety in production environments and have the expertise to build software systems that defend against abuse. - Build tools to accelerate your own workflows, but only when off-the-shelf solutions would not do. Our tech stack - Our infrastructure is built on Terraform, Kubernetes, Azure, Python, Postgres, and Kafka. While we value experience with these technologies, we are primarily looking for engineers with strong technical skills and the ability to quickly pick up new tools and frameworks. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fa

About the Team OpenAI's Marketing team helps customers understand, adopt, and get value from OpenAI's products and platform. The SMB Ads Marketing team is building the growth engine for small and medium-sized business advertisers: helping them discover the platform, sign up, launch campaigns, understand performance, and grow spend over time. We take a data-driven approach to understanding customer needs, market dynamics, and funnel behavior. We partner closely with Product, Engineering, Data Science, Sales, Partnerships, Marketing Operations, Design, and Communications to create a cohesive end-to-end advertiser experience and help businesses unlock value from OpenAI's advertising platform. About the Role We are hiring a Growth Marketing Manager, SMB Ads to help build and execute high-velocity growth programs for small business advertisers. This person will work across acquisition, activation, lifecycle, and conversion, with an initial focus on helping advertisers move from interest and sign-up to first meaningful spend & retention over time This is a hands-on growth role for someone who loves turning ideas into shipped experiments. You will build campaigns, lifecycle journeys, landing page tests, messaging tests, audience experiments, AI-assisted workflows, reporting improvements, and practical conversion programs. As the SMB Ads business grows, this role may continue to support acquisition and activation and expand deeper into same-store growth, lifecycle, retention, and repeat spend. In This Role, You Will: - Execute growth experiments across acquisition, activation, lifecycle, and early retention. - Build email, in-product, landing page, audience, messaging, and offer tests that help SMB advertisers reach first spend and repeat value. - Use AI tools to prototype marketing assets, automate workflows, analyze funnel data, generate creative variations, and build internal growth systems. - Partner with Growth, Product, Engineering, Data Science, and Marketing Operations to turn strategy into shipped experiments and measurable learnings. - Support improvements to sign-up, onboarding, campaign creation, measurement, and advertiser education. - Maintain experiment documentation, QA checklists, learnings, and performance readouts. - Translate ambiguous growth ideas into concrete tests, campaign plans, launchable assets, and clear next steps. - Help identify new ways to convert, activate, retain, and grow SMB advertisers. You Might Thrive in This Role If You: - Have experience in growth marketing, lifecycle marketing, GTM engineering, marketing operations, product growth, demand generation, or performance marketing. - Have shipped campaigns, experiments, automations, landing page tests, lifecycle programs, or conversion initiatives. - Are comfortable working across ambiguous, fast-moving growth problems with incomplete information. - Can interpret funnel metrics, campaign performance, experiment results, and customer behavior signals. - Are fluent with AI tools and use them to accelerate marketing execution, workflow automation, analysis, personalization, prototyping, or internal tooling. - Have strong writing and customer judgement, especially for translating product value into clear SMB-facing messaging. - Enjoy working across Marketing, Product, Engineering, Data Science, and Operations. - Have experience with SMB growth, self-serve funnels, advertiser growth, PLG SaaS, marketplaces, commerce, fintech, local services, creator tools, or other high-volume customer funnels. - Have experience with lifecycle marketing, CRM, segmentation, activation, onboarding, winback, or retention programs. - Have familiarity with ads products, SMB acquisition, campaign setup, advertiser education, or self-serve growth funnels, including platforms such as Google Ads, Meta Ads, TikTok for Business, Amazon Ads,, Reddit, Snap or similar. - Are comfortable using no-code or low-code tools, analytics tools, marketing automation platforms, SQL, scripting,

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We’re looking for an experienced systems software engineer to help define and build the host software stack for our custom next-generation AI systems. You will work close to the hardware on performance-critical software, including Linux kernel drivers, high-throughput I/O paths, and system-scale networking and RDMA. This role spans architecture, implementation, platform bring-up, debugging, and performance optimization. You will work across hardware and software boundaries to make new systems usable end to end, from low-level device interfaces through userspace tooling and production validation. In this role you will: - Design, implement, and debug host-side systems software for AI infrastructure, including Linux kernel drivers and supporting userspace components. - Build and optimize software paths for high-throughput, low-latency communication, including RDMA and related networking functionality. - Develop software around PCIe, DMA, NICs, accelerators, memory movement, and device interaction. - Bring up new hardware platforms and diagnose complex issues across kernel, firmware, networking, and hardware boundaries. - Build tooling for integration, testing, diagnostics, observability, qualification, and performance characterization. - Collaborate with hardware, networking, and platform teams to define interfaces and integrate new capabilities. - Work with external vendors where needed to integrate technologies and drive issues to resolution. - Contribute across the systems software stack as the platform and team evolve. - Help shape the technical direction and engineering practices for a growing systems software stack. You might thrive in this role if you have: - Experience building low-level or performance-critical systems software. - Strong programming skills in C or C++, with proficiency using Python and Linux tooling for automation and debugging. - Strong Linux systems fundamentals and the ability to debug across hardware and software boundaries. - Hands-on experience in at least one relevant area, such as Linux kernel drivers, kernel networking, RDMA, PCIe, DMA, NIC software, accelerator software, or high-performance I/O. - Experience owning complex software projects from design through implementation, bring-up, and validation. - Ability to thrive in ambiguity, work across subsystem boundaries, and build systems from scratch. - Strong cross-functional communication skills. Preferred Qualifications - Experience developing Linux kernel drivers or other OS-level performance-critical components. - Familiarity with RDMA or RoCE, ibverbs, kernel networking, or congestion-control concepts such as ECN and DCQCN. - Experience with PCIe, DMA, peer-to-peer communication, SR-IOV, IOMMU, dma-buf, or related accelerator and I/O subsystems. - Experience bringing up accelerators, NICs, SoCs, or custom hardware platforms. - Experience profiling and optimizing high-throughput, low-latency systems. - Familiarity with Rust or experience using Rust for systems programming. To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely p

About the Team Governance, Risk, and Compliance (GRC) is foundational to Security delivering mission outcomes at OpenAI. The GRC team provides security assurances and builds compliance for OpenAI’s technology, people, and products. We are technical in what we build but operational in how we do our work, and we partner deeply with Product, Security, Legal, Privacy, GTM, and Field Security to help OpenAI move quickly while maintaining trust with customers, auditors, regulators, and the public. About the Role We are looking for an experienced Regulatory & Product Assurance IC to help scale OpenAI’s GRC function across product launches, regulatory readiness, and customer trust. You will partner closely with Product, Security, Legal, Privacy, Field Security, and GTM teams to make sure OpenAI can move quickly while maintaining our security and compliance claims and giving customers, auditors, and regulators accurate and actionable information about how OpenAI handles user data. This role is not about supporting SOC or ISO audits; it's a highly cross-functional and deeply operational role to ensure that our products launch with the right controls; our external narratives remain true and GTM and customers are enabled with the right information to assess OpenAI’s security and compliance. You will help build the systems, content, escalation paths, and automation that allow OpenAI to support enterprise customers, strategic launches, and emerging regulatory expectations without turning GRC into a bottleneck. You should be comfortable working across high-visibility product launches, data handling policy creation, customer security reviews, public trust content, launch readiness, regulated products, release risk assessments, and product assurance evidence. We’re looking for people who bring: - Strong product assurance, product launch review, customer trust, security compliance, or enterprise trust experience in a technical environment. - Ability to support GTM teams with accurate, approved, customer-facing security and compliance narratives. - Judgment to distinguish what can be answered directly, what requires Product/Security/Legal review, and what should not be claimed externally. - Experience building scalable operating models, metrics, content systems, and automation for repeated assurance workflows. - Excellent written communication and comfort translating technical security concepts for customers, auditors, regulators, Sales, and Field Security. In this role, you will: - Own and improve the customer trust operating model with other org members and partner teams, including intake, triage, escalations, SLAs, metrics, and quality review. - Support strategic customer trust needs, including security questionnaires, customer calls, Trust Center updates, and high-priority deal support. - Partner with Product, Security, Legal, Privacy, and GTM teams to prepare accurate, approved trust materials for launches and regulated product changes. - Build reusable customer-facing narratives, FAQs, evidence paths, and whitepapers that reduce one-off work while keeping claims controlled. - Ensure external security and compliance claims are supported by internal processes and controls. - Ensure product launches support our external security and compliance narrative; scale launch reviews to ensure GRC is not a bottleneck. - Develop data handling guidance as needed to provide product teams a paved path consistent with our external commitments. - Use automation and AI-native workflows across internal and external tooling, Codex, and related systems to improve speed and consistency. - Turn recurring customer discovery into reusable content, product feedback, evidence improvements, and control-gap signals. You might thrive in this role if: - You have operated as a senior IC in GRC, product assurance, customer trust/assurance, security compliance, enterprise trust, product security assurance, or a closely related function. - You have technical fluency across S

About the Role The Engineering Acceleration Delivery / Continuous Deployment team builds and operates the systems that safely ship OpenAI’s infrastructure and product code to production. We own the deployment platform, release pipelines, and rollout safety mechanisms that allow engineers across OpenAI to deploy changes rapidly while minimizing operational risk. Our mission is to make production deployments fast, safe, and increasingly autonomous. This role sits at the intersection of developer productivity, distributed systems reliability, and large-scale infrastructure orchestration. In This Role, You Will - Design and build continuous deployment infrastructure that safely rolls out changes across dozens of Kubernetes clusters and global regions. - Develop systems for progressive delivery, including canary releases, staged rollouts, and automated rollback. - Improve engineering velocity by reducing friction in the release pipeline and automating manual operational workflows. - Work with product and infrastructure teams to ensure their services are deployable, observable, and resilient at scale. - Implement and evolve deployment methodologies such as GitOps, infrastructure-as-code, and progressive delivery patterns. - Build systems that automatically evaluate deployment health using metrics, logs, traces, and alerts to detect regressions and trigger safe rollbacks. - Build systems that support agent-assisted or autonomous deployment workflows using modern AI tooling. Technologies commonly used in this environment include: - Kubernetes for large-scale container orchestration and runtime infrastructure - Python and FastAPI for internal services - Terraform for infrastructure as code - GitOps-based deployment workflows (e.g., ArgoCD, Flux, or similar systems) - Buildkite for CI orchestration You may be a strong fit if you: - Have worked with Kubernetes-based deployment systems at scale - Have experience building or operating continuous deployment platforms - Are familiar with GitOps tooling such as ArgoCD or Flux - Are excited about building AI-assisted systems and agents that intelligently shepherd software changes from commit to safe production rollout. - Care deeply about safe production rollouts and minimizing blast radius - Enjoy building internal platforms that improve developer productivity across the organization Compensation $230K – $490K + Offers Equity About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect

About the Team ChatGPT is a rapidly evolving system: new capabilities ship continuously, product surfaces change quickly, and usage patterns shift week-to-week. Supporting that pace requires infrastructure that can handle real production constraints—high concurrency, unpredictable traffic patterns, complex dependency graphs, and frequent change. The ChatGPT Infrastructure team builds and operates the platforms that enable fast iteration without compromising performance or reliability. We design shared systems, data paths, rollout mechanisms, and reliability guardrails that teams rely on to ship changes to ChatGPT at scale. We focus on high-leverage infrastructure: primitives and “golden paths” that incorporate operational lessons as defaults, so engineers don’t need to rediscover failure modes, latency pitfalls, or integration issues each time they build something new. About the Role We’re hiring Senior and Staff Engineers to design and build infrastructure systems that underlie ChatGPT and multiply the effectiveness of teams building user experiences. This is not a support-only role. It’s a platform-building role: you’ll define interfaces, develop core abstractions, and create tooling to make safe, fast iteration the norm. Your work will reduce friction, prevent regressions, improve performance, and ensure systems scale gracefully as the product grows. Where You Can Have Impact - You might work on one or more of the following areas (without being restricted to any single area): - Platform foundations & frameworks: Core libraries, service frameworks, and shared components that standardize system building, integration, and evolution. - Scalability & performance primitives: Patterns and infrastructure that reduce tail latency, improve throughput, and keep costs predictable as demand increases. - Reliability guardrails: Mechanisms that prevent outages by design—rate limiting, load shedding, dependency isolation, backpressure, safe fallbacks, and robust regression controls. - Developer productivity via golden paths: Paved roads for common workflows (data access patterns, service integration, request lifecycle) that are fast, safe, and easy to use. - Observability & debugging systems: Instrumentation, metrics models, and investigative tooling that turn vague symptoms (“it’s slow”) into precise, actionable diagnoses. - Safe change management: Deployment and rollout systems that support rapid iteration with confidence—progressive delivery, automated verification, and fast rollback strategies. - Interface and contract design across boundaries: Clean APIs and stable contracts that reduce coupling and enable independent evolution across a complex ecosystem. What You’ll Do - Build and evolve infrastructure platforms used by many engineers and services. - Translate real-world constraints into clean abstractions: simple APIs, enforceable contracts, safe defaults. - Drive improvements in reliability and performance through principled design, measurement, and iterative hardening. - Partner with engineering and product teams to identify systemic pain points and develop reusable solutions. - Own outcomes end-to-end: design → implementation → rollout → operational maturity. Qualifications Minimum Qualifications - Experience building and operating large-scale distributed systems in production (high throughput, concurrency, and failure handling). - Strong fundamentals in systems design, including caching, consistency, queueing/backpressure, and resilient dependency management. - Ability to reason about performance (latency distributions, tail behavior, bottlenecks) and translate analysis into concrete engineering work. - Track record of building platforms or shared infrastructure that improves velocity and correctness for other teams. - Excellent communication and collaboration skills—aligning on interfaces, navigating tradeoffs, and driving cross-team execution. Preferred Qualifications - Experience designing paved roads / golden paths (framewor

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role We are seeking a Software Engineer, Security Observability to join our Security team. In this role, you will be responsible for building secure, scalable systems that enhance our security observability infrastructure. Leveraging your strong engineering skills, you will collaborate with cross-functional teams to develop, deploy, and maintain robust software solutions that support our security and detection capabilities. This role is open to remote employees, or relocation assistance is available to one of our OpenAI offices in San Francisco, Seattle, or New York City. Due to requirements associated with work this role may support, applicants for this position must be U.S. citizens. In this role, you will: - Design and develop scalable software systems that facilitate security observability across our infrastructure. - Build and maintain data pipelines that centralize and store security-relevant data from diverse sources. - Proactively improve the resilience and reliability of data systems to ensure high platform availability - Collaborate closely with Detection & Response (D&R) and other security teams to reduce the company’s security risk. - Contribute to data engineering in support of forensic investigations and compliance efforts. You might thrive in this role if you have: - Strong software engineering experience, with proficiency in programming languages such as Python, Golang, or similar. - A background in infrastructure as code, with experience using tools like Terraform and working with cloud platforms such as Azure. - Experience with building and maintaining data pipelines, particularly for security-related use cases. - A generalist engineering mindset, with the flexibility to pivot between various technical domains such as databases, site reliability engineering (SRE), or security. - The ability to collaborate effectively with security and engineering teams to understand evolving data needs and implement scalable solutions. - A proactive and detail-oriented approach to problem-solving, with a focus on improving security data visibility and forensic capabilities. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporat

About the Team The Coding team is reimagining how software is built in the AI era. We build tools and workflows that help software engineers work faster, tackle more ambitious projects, and spend less time on repetitive tasks. AI has already transformed how code is written, but software engineering extends far beyond coding. Our mission is to apply AI across the entire software development lifecycle (SDLC) — from design and implementation to code review, testing, debugging, issue remediation, maintenance, documentation, and user support. The team is also responsible for developer-facing Codex experiences including the Codex IDE Extension and the terminal interface, which are used daily by developers ranging from individual open-source contributors to some of the world’s largest engineering organizations. The team also works closely with the open-source software community, building tools that help maintainers and contributors manage increasingly complex projects. We believe AI can make open-source development more sustainable by reducing the operational burden of reviewing contributions, triaging issues, maintaining quality, and supporting growing communities. By building the future of software development, we're helping advance OpenAI's mission of ensuring that the benefits of AI reach people around the world. About the Role We’re hiring a Full Stack Software Engineer to help invent the next generation of AI-powered software development workflows. “Full stack” in this role means much more than traditional frontend and backend development. You'll own complete product experiences, spanning user interfaces, workflow orchestration, agent and prompt design, backend systems, and cloud infrastructure. This is a highly product-oriented role. You'll work directly on the workflows developers use every day, identifying bottlenecks and rethinking how software gets built in a world where AI agents are active participants in the development process. The features you ship will influence how developers around the world write, review, test, and maintain software. In this role, you will: - Build end-to-end product experiences that span frontend applications, backend services, agent workflows, cloud infrastructure, and developer tooling. - Design AI-powered workflows that generalize across a wide variety of software engineering teams, languages, codebases, and development practices. - Discover and implement novel ways to apply AI to eliminate friction throughout the software development lifecycle. - Partner closely with product, design, and research to understand developer needs and rapidly translate insights into shipped product improvements. - Work directly with users — including developers at OpenAI, open-source contributors, startups, and large enterprises — to understand pain points and validate solutions. - Improve the reliability, observability, scalability, and performance of the systems and workflows you build. You might thrive in this role if you have: - Strong software engineering fundamentals and experience building production systems. - Experience with TypeScript, Rust, or a similar systems or application programming language. - Deep familiarity with modern software development tools, workflows, and engineering practices. - Experience using AI-assisted development tools and a strong intuition for their strengths, weaknesses, and emerging opportunities. - A desire to own products and features end-to-end, from conception through launch and iteration. - Strong product judgment and a bias toward learning from real user feedback. - Creativity in reframing problems, challenging assumptions, and inventing new workflows rather than simply optimizing existing ones. The ideal candidate is someone who loves building developer tools, thinks deeply about how software gets built, and is excited by the opportunity to redefine those workflows from first principles in the age of AI. About OpenAI OpenAI is an AI research and deployment company dedica

The ChatGPT Finances team builds experiences that help people connect their financial accounts, understand their financial picture, and ask useful questions about their finances through ChatGPT. Our work spans account connectivity, data ingestion, dashboards, personalized insights, and conversational experiences. We collaborate across product, design, research, infrastructure, security, and data integrations to make complex financial information understandable and actionable. This is an early and ambitious product area with a substantial roadmap. We are looking for engineers who want to shape both the first user experiences and the durable systems required to earn and keep users’ trust. ABOUT THE ROLE We’re looking for full-stack product engineers to build and scale ChatGPT Finances. You will own features across the stack—from polished frontend experiences to the APIs, services, and data models that power them. This role is well suited to engineers who combine strong product judgment with broad technical depth. You should care about how quickly users can understand their financial lives, how reliably data moves through the system, and how AI can answer financial questions in a grounded, transparent, and useful way. You will work closely with product, design, research, infrastructure, security, and data integration teams to take ideas from early prototypes to reliable production experiences. IN THIS ROLE, YOU WILL - Own full-stack product features from user experience and frontend implementation through backend services, data models, deployment, and observability. - Build polished, accessible, and performant interfaces for account connection, dashboards, insights, and conversational workflows. - Design APIs and backend systems that safely ingest, normalize, and serve financial data. - Build resilient integrations that handle synchronization, data freshness, partial failures, permissions, and user consent. - Bring new AI capabilities into production while prioritizing grounding, accuracy, transparency, and user control. - Establish architecture, performance standards, testing practices, and operational safeguards for a fast-growing product area. - Debug and improve complex behavior across client, server, infrastructure, and external integrations. - Use qualitative feedback, product metrics, and experiments to improve user outcomes without compromising clarity or trust. - Collaborate across disciplines to turn ambiguous product opportunities into simple, reliable experiences. YOU MIGHT THRIVE IN THIS ROLE IF YOU - Have experience building and shipping full-stack consumer products in production. - Are comfortable working in a modern frontend stack and building the APIs and services behind it. - Care deeply about product craftsmanship, performance, accessibility, and details that affect the user experience. - Understand API design, data modeling, system reliability, and the tradeoffs involved in evolving production systems. - Can move effectively between frontend, backend, and product decisions rather than remaining in a narrow implementation area. - Have strong product judgment and can take a feature from a rough idea to a shipped, measurable outcome. - Work well in ambiguous, high-impact areas where the product and technical architecture are still taking shape. - Think carefully about privacy, security, reliability, and user trust when working with sensitive data. - Enjoy diagnosing problems across system boundaries and improving the underlying engineering foundations. - Are interested in AI-native interfaces and new ways to make complex personal information easier to understand. PREFERRED QUALIFICATIONS - Experience building backend services using languages and frameworks such as Python, Go, Node.js, or comparable technologies. - Experience with frontend development using React / Typescript, or Swift or Kotlin. - Experience operating consumer products or distributed systems at scale. - Experience with fintech, personal finance,

About the Team We’re hiring software engineers to join our broader Infrastructure organization, which supports multiple high-impact teams. Depending on your interests and experience, you could work on one of several focus areas—including Core Distributed Systems, Databases, Observability, or Cloud Infrastructure. All teams operate with a high degree of autonomy and are deeply collaborative, with a shared mandate to raise the bar on safety, reliability, and velocity across OpenAI. About the Role You’ll be at the heart of scaling and hardening the infrastructure that powers some of the most widely used AI systems in the world. You’ll help ensure our systems are highly reliable, observable, performant, and secure—so researchers can iterate quickly, and products like ChatGPT and the OpenAI API can serve millions of users safely and effectively. This is a hands-on, high-leverage role for engineers who thrive on ownership, love solving deep technical problems across the stack, and want to work on systems that support cutting-edge research and deploy at global scale. You’ll play a key part in shaping technical direction, proactively improving system resilience, and collaborating closely with infra, product, and research teams to turn complex infrastructure into reliable platforms. In this role you will: - Design, build, and operate reliable and performant systems used across engineering. - Identify and fix performance bottlenecks and inefficiencies, ensuring our infrastructure can scale to the next order of magnitude. - Dig deep to resolve complex issues. - Continuously improve automation to reduce manual work. Improve internal tooling and our developer experience. - Contribute to incident response, postmortems, and the development of best practices around system reliability and scalability. You might thrive in this role if you: - Have a deep understanding of distributed systems principles and a proven track record in building and operating scalable and reliable systems. - Have a keen eye for performance and optimization. You know how to squeeze the most performance out of complex, globally-distributed systems. - Have experience operating orchestration systems such as Kubernetes at scale and building abstractions over cloud platforms - Are comfortable working in Linux environments, and with tools like Kubernetes, Terraform, CI/CD pipelines, and modern observability stacks. - Are experienced in collaborating with cross-functional teams to ensure that reliability and scalability are considered in the design and development of new features and services. - Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed. - Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done. - Are comfortable with ambiguity and rapid change. Qualifications: - 4+ years of relevant industry experience, with 2+ years leading large scale, complex projects or teams as an engineer or tech lead - A passion for distributed systems at scale with a focus on reliability, scalability, security, and continuous improvement. - Proven experience as an reliability engineer, production engineer, or a similar role in a fast-paced, rapidly scaling company. - Strong proficiency in cloud infrastructure (like AWS, GCP, Azure) and IaC tools such as Terraform. Proficiency in programming / scripting languages. - Experience with containerization technologies and container orchestration platforms like Kubernetes. - Experience with observability tools such as Datadog, Prometheus, Grafana, Splunk and ELK stack. - Experience with microservices architecture and service mesh technologies. - Knowledge of security best practices in cloud environments. - Strong understanding of distributed systems, networking, and database technologies. - Excellent problem-solving skills and ability to work in a fast-paced environment. About OpenAI OpenAI is an AI research and deployment company

ABOUT THE TEAM The Storage Infrastructure team builds and operates the storage foundation behind OpenAI’s most demanding workloads. We work directly with research to design storage systems for rapidly evolving experiments, while also powering production at scale. We own the platform end to end: backend systems, user-facing services and APIs, and the control planes that manage how data is placed, moved, and retained over time. Our stack spans cloud and in-house object stores across very different workload profiles, from GPU-attached systems to dedicated storage hardware. We also build the federation layer that unifies these backends behind a simple interface and routes each workload to the right storage solution. ABOUT THE ROLE You will help build the storage platform that powers OpenAI’s research and production systems. This is a hands-on infrastructure role for engineers who want to work on deeply technical systems at scale and own them in production. You’ll work across object storage, cross-region data movement, lifecycle management, and the federation layer that provides a unified interface across multiple backends. Much of our stack runs on Kubernetes, and we primarily build services in Rust. In this role, you will: - Build and operate storage services that underpin OpenAI’s research infrastructure - Develop object storage systems across cloud and in-house environments - Build systems for cross-region data movement, replication, and recovery - Design lifecycle management capabilities that keep data durable, available, and cost-effective - Evolve the federation layer that unifies multiple backend systems behind a simple interface - Improve performance, reliability, and operational excellence across the platform - Collaborate closely with researchers and infrastructure teams to support rapidly evolving workloads You might thrive in this role if you: - Have experience building or operating distributed systems in production - Have worked on storage infrastructure, object stores, distributed filesystems, or other data-intensive backend systems - Enjoy owning infrastructure end to end, including debugging and long-term reliability improvements - Write strong production code, ideally in Rust or another systems-oriented language - Are comfortable working with Kubernetes-based systems - Have experience with tools such as Terraform, Grafana, or similar infrastructure and observability tooling About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional o

About the Team OpenAI Finance is responsible for ensuring the organization is set up for success in pursuit of its mission. The Compute & Infrastructure team shares financial insights and partners with internal and external business stakeholders to manage the accounting and financial reporting for OpenAI’s rapidly evolving infrastructure investments. The team supports a broad and increasingly complex portfolio of compute and infrastructure arrangements, including cloud computing, data centers, servers, equipment, rack financing, colocation arrangements, and other AI infrastructure deployments. We are responsible for ensuring financial accuracy, operational scalability, and informed decision-making as OpenAI continues to invest in advanced technologies and expand its infrastructure footprint. About the Role We are looking for an experienced and technically skilled accounting professional to manage the accounting and financial reporting for OpenAI’s compute and infrastructure lease-related activities. In this role, you will own complex lease accounting matters across data centers, servers, equipment, and other infrastructure arrangements, while helping operationalize new programs as the organization continues to scale. You will evaluate unique and highly structured transactions, assess their accounting implications, and translate technical conclusions into clear recommendations for leadership. You will also work cross-functionally to design the processes, systems, controls, and data solutions required to support accurate and scalable accounting operations. This role requires a strong command of US GAAP, particularly lease accounting and consolidation, as well as the ability to operate effectively and fluidly in an evolving environment where new infrastructure programs may not yet have established processes or system solutions. The ideal candidate is both a technical accounting expert and a hands-on builder who can turn complex arrangements into sustainable operating models. You will partner closely with Finance, Technical Accounting, Legal, Tax, Procurement, Engineering, Infrastructure, and other key stakeholders. You will also work with external counterparties and service providers to ensure the accounting treatment, operational processes, and reporting outputs are accurate, well-documented, and scalable. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Own the end-to-end accounting for compute and infrastructure lease-related activities, including data centers, servers, equipment, colocation arrangements, and other infrastructure deployments. - Evaluate new and evolving infrastructure arrangements to determine the appropriate accounting treatment under US GAAP, including lease identification, classification, measurement, commencement, modification, impairment, and presentation considerations. - Partner with Technical Accounting and other cross-functional stakeholders to assess complex or non-standard transactions, document accounting conclusions, and present the financial reporting implications to senior leadership. - Lead the accounting operationalization of new compute and infrastructure programs by developing scalable processes, controls, systems, data requirements, and reporting solutions from the ground up. - Design and implement system solutions to support lease accounting, fixed asset tracking, subledger requirements, data integration, and management reporting. - Own month-end and quarter-end close activities for the lease portfolio, including journal entries, reconciliations, flux analysis, rollforwards, balance sheet substantiation, and reporting packages. - Ensure the completeness and accuracy of lease-related accounting records by developing robust contract intake, asset tracking, and reconciliation processes. - Manage the accounting and reporting requirements for unique legal entities and

About the Team The Product Policy team develops, implements, enforces, and communicates the policies that govern use of OpenAI’s services, including ChatGPT, Codex, GPTs, and the OpenAI API. This biosecurity-focused role will help define how OpenAI enables legitimate life sciences, biomedical, and public health work while reducing the risk that our products are misused to create biological harm. This role sits at the intersection of AI capability, life sciences practice, biosecurity, biosafety, and abuse prevention: helping researchers, institutions, and other legitimate users benefit from OpenAI’s tools while setting clear boundaries against activity that could enable catastrophic biological misuse or other harmful bio-related outcomes. About the Role As a Product Policy Manager specializing in Biosecurity, you will combine deep biological, biosecurity, and policy judgment to guide how OpenAI evaluates, launches, and governs capabilities relevant to biology and the life sciences. You will work closely with product, engineering, research, safety, security, legal, operations, global affairs, and go-to-market teams to translate complex biological risk into practical product policy, implementation standards, access criteria, enforcement guidance, and launch decisions. The role requires understanding both sides of the bio equation: how legitimate researchers, clinicians, public health practitioners, and life sciences organizations use AI to advance beneficial work, and how malicious or irresponsible actors may attempt to misuse AI systems to lower barriers to harmful biological activity. Strong candidates may bring depth in one or more relevant domains, such as biosecurity, biosafety, synthetic biology, molecular biology, computational biology, bioinformatics, public health, biodefense, biological risk management, sequence screening, lab automation, institutional research governance, or life sciences R&D — along with the ability to reason across adjacent areas. You do not need to have held a formal policy title, but you should have experience turning complex technical or scientific risk into durable rules, standards, processes, or decisions, and very strong communication skills. As OpenAI continues to grow its capabilities in biology and the life sciences, this role will help align diverse teams and stakeholders while operating in a fast-moving, ambiguous environment. In this role, you will: - Provide biosecurity and life sciences policy advice to technical and product teams based on an understanding of model capabilities, biological R&D workflows, abuse pathways, and the practical needs of legitimate scientific users. - Evaluate bio-relevant product launches and model capabilities, including how they may support beneficial biological research, public health, clinical education, drug discovery, biosecurity, and other life sciences use cases, as well as how they could be misused by malicious or irresponsible actors. - Translate biological misuse risk into clear product requirements, launch guidance, enforcement standards, user-facing policy, internal implementation guidance, and reviewer SOPs. - Help define scalable policy frameworks for dual-use biological capabilities, including where to draw boundaries between broadly beneficial biological assistance, higher-risk dual-use support, and activity that should be restricted or disallowed. - Develop operationalizable standards, enforcement protocols, and escalation paths for bio misuse scenarios, including suspicious high-risk dual-use trajectories, account- or organization-level misuse patterns, and ambiguous cases requiring expert judgment. - Partner with Preparedness, Safety Systems, Integrity, User Operations, I2, research, legal, communications, global affairs, and product teams to make principled, timely decisions about biological risk in high-ambiguity situations. - Help design and refine trusted access frameworks for higher-capability biological systems, including actor vettin

ABOUT THE TEAM OpenAI’s Compute organization turns ambitious AI research into real-world capability by delivering the compute infrastructure behind our most advanced models. The team works across software, hardware, facilities, operations, and engineering disciplines to make enormous amounts of compute available, reliable, and efficient. As the demand for frontier AI grows, so does the complexity of the systems required to support it. Scaling this infrastructure means solving problems that cut across distributed systems, ML infrastructure, GPU fleets, power, cooling, networking, manufacturing, supply chain, and data center delivery. Our work is focused on expanding the compute foundation that enables OpenAI to train more capable models, including systems like GPT-5.6, and make frontier AI available to more people, products, and workflows. We’re looking for exceptional people across many disciplines to help build the next generation of AI infrastructure at a scale few organizations have attempted. ABOUT THE ROLE We are hiring across a broad range of roles to help design, build, scale, and operate OpenAI’s compute infrastructure. Depending on your background, you may work on large-scale distributed systems, ML infrastructure, hardware systems, manufacturing, supply chain, data center development, or the physical engineering systems required to bring massive compute capacity online. You’ll work with teams across research, engineering, hardware, operations, and infrastructure to solve high-impact problems at extraordinary scale. This may include improving system reliability, accelerating deployment timelines, increasing operational efficiency, designing new infrastructure, or helping bring new compute platforms and facilities from concept to production. This is an opportunity to work on one of the most important infrastructure challenges in AI: building the compute foundation required to train and serve increasingly capable frontier models. KEY RESPONSIBILITIES: - Help build, scale, and operate OpenAI’s global compute infrastructure. - Solve complex problems across software, hardware, manufacturing supply chain, and data center systems. - Improve the reliability, performance, efficiency, and scalability of critical infrastructure. - Partner with cross-functional teams to bring new compute capacity online quickly and reliably. - Identify bottlenecks across technical, operational, and physical systems, and develop practical solutions. - Build tools, processes, systems, or infrastructure that improve execution at scale. - Contribute to the long-term architecture and operational maturity of OpenAI’s compute footprint. QUALIFICATIONS: - Have experience building, scaling, or operating complex technical systems. - Enjoy working on ambiguous, high-impact problems where the path forward is not always defined. - Are comfortable collaborating across disciplines, including software, hardware, operations, and physical infrastructure. - Have strong technical judgment and a bias toward execution. - Care deeply about reliability, speed, safety, and operational excellence. - Are excited by the challenge of building infrastructure at unprecedented scale. - Want your work to directly support the development and deployment of frontier AI. PREFERRED SKILLS: - Have experience with AI infrastructure, high-performance computing, distributed systems, GPU clusters, or cloud-scale platforms. - Have worked on hardware systems, manufacturing, supply chain, data center development, or large capital infrastructure projects. - Have domain expertise in civil, controls, mechanical, hardware, electrical, thermal, power, networking, or facilities engineering. - Have helped bring new technical platforms, data centers, factories, or large-scale systems from concept to production. - Have experience operating in fast-moving environments where technical depth and execution speed both matter. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuri

About the Role: The Program Manager executes Technology Capital Builds by creating tight alignment across Real Estate and Workplace Services, Corporate IT, Corporate Security and other partner teams to design and deliver technical solutions for capital build outs, including new office buildout and remodels, industrial labs, datacenters and secured facilities. This includes all low voltage, ISP connectivity, network infrastructure, audio visual, physical security and related IT scopes of work. In this role, you will: - Ensure new sites launch with secure and reliable ISP connectivity, network infrastructure, and low voltage systems that are ready to support employees from day one. - Deliver Capital Builds commitments through effective coordination across internal teams, construction partners, and vendors, achieving outcomes on scope, schedule, budget, and quality. - Ensure AV systems across conference rooms, training spaces, all hands venues, digital signage, and wayfinding deliver a consistent and dependable user experience. - Ensure access control, surveillance, and intrusion detection systems are integrated into the built environment and aligned with enterprise security requirements. - Provide leadership with clear visibility into portfolio status, key decisions, dependencies, and emerging risks. - Establish standards, drawing packages, specifications, and documentation that enable repeatable execution and operational consistency across the global portfolio. - Ensure disciplined stewardship of procurement, budgets, and vendor investments across the Capital Builds portfolio. - Identify and mitigate delivery risks early to protect project outcomes, business continuity, and operational readiness. - Ensure all systems are commissioned, documented, and transitioned to support teams with clear ownership and support models in place. You might thrive in this role if you have: - Strong project and program management capabilities. - Strong knowledge of the architectural design process (schematic design, design development, construction documents). - Strong knowledge of commercial real estate construction processes. - Excellent written and verbal communication skills. - Vendor management experience (Vendor vetting, RFP and bid response, performance management, handover). - Understanding of mechanical power, cooling systems and capacity planning. - Ability to read construction and engineering plan drawings. - PMP or equivalent project management certification. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job d

ABOUT THE TEAM The Platform Systems team at OpenAI operates at the intersection of cutting-edge AI and large-scale distributed systems. We build the engineering and research infrastructure required to train OpenAI’s flagship models on some of the world’s largest, custom-built supercomputers. Our team develops core model training software and works deep in the stack - spanning collective communication, compute efficiency, parallelism strategies, fault tolerance, failure detection, and observability. The systems we build are foundational to OpenAI’s research velocity, enabling reliable, efficient training at frontier scale. We collaborate closely with researchers across the organization, continuously incorporating learnings from across OpenAI into the evolution of our training platform. ABOUT THE ROLE As a Software Engineer, Platform Systems, you will design and build distributed systems that provide visibility into large-scale training workloads and help operate them reliably at scale. You’ll work on failure detection, tracing, and observability systems that identify slow or faulty nodes, surface performance bottlenecks, and help engineers understand and optimize massive distributed training jobs. This infrastructure is critical to operating OpenAI’s training stack and is actively evolving to support new use cases and increasingly complex workloads. This role sits at the core of our training infrastructure, blending systems engineering, performance analysis, and large-scale debugging. IN THIS ROLE, YOU WILL - Design and build distributed failure detection, tracing, and profiling systems for large-scale AI training jobs - Develop tooling to identify slow, faulty, or misbehaving nodes and provide actionable visibility into system behavior - Improve observability, reliability, and performance across OpenAI’s training platform - Debug and resolve issues in complex, high-throughput distributed systems - Collaborate with systems, infrastructure, and research teams to evolve platform capabilities - Extend and adapt failure detection systems or tracing systems to support new training paradigms and workloads YOU MIGHT THRIVE IN THIS ROLE IF YOU - Care deeply about performance, stability, and observability in distributed systems - Enjoy finding and fixing issues in large-scale systems and automating operational workflows - Have experience writing low-level software where system details matter - Understand hardware, operating systems, networking, concurrency, and distributed systems - Have a background in high-performance computing or low-level systems engineering - Are excited to work on critical infrastructure that powers frontier AI research About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-

Join the engineering teams that bring OpenAI’s ideas safely to the world!! The Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role We’re building the observability product for OpenAI—from scalable infrastructure to a rich, AI-powered UI. Our systems ingest over petabytes of logs and billions of time series metrics across our fleet. We're now layering intelligence on top—think agents that summarize SEVs, auto-generate dashboards, or help engineers debug through notebook-like UIs. We’re hiring software engineers across the stack—infra, backend, and product. You’ll join a small, gritty team building both foundational infra and novel internal tools to make OpenAI's production systems reliable, performant, and observable. What You’ll Do - Own core observability infrastructure, including distributed logging, time series, and trace storage - Build AI-native tools that help engineers detect, understand, and resolve issues autonomously. - Contribute to UI experiences like dashboards, notebooking, or interactive debugging - Collaborate closely with engineers, researchers, user ops, and other teams across the company to build the next generation observability product You Might Be a Fit If You: - Have operated large-scale distributed systems in production. ( especially logging systems or some other time series databases) - Thrive in ambiguous environments and roll up your sleeves to solve unscoped problems. - Have full-stack chops or product sensibilities—you're excited to build real tools people use. - Have strong fundamentals in systems, networking, and cloud infra (Kubernetes, AWS, etc). - Bonus: built or contributed to observability systems (e.g. Prometheus, OpenTelemetry, etc). Why This Team - We’re both an infra and product team—building a real AI application for internal use. - Your work will directly power the reliability of GPT-based products at massive scale. - You'll help define what "AI-powered observability" looks like at one of the world’s most advanced AI labs. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possess

About the Team The Privacy Engineering team builds the systems and technical foundations that govern how user data is understood, retained, accessed, and used across OpenAI. We partner with Product, Data, Infrastructure, Security, and Legal to translate policy and trust commitments into durable architecture and enforceable controls. Our work spans data inventory and mapping, classification and lineage, retention and deletion, access governance, purpose and usage controls, auditability, and lifecycle automation. We aim to make policy-aligned data handling the default while giving teams clear, reliable primitives for building and operating products at scale. About the Role We are looking for an experienced Software Engineer to drive the architecture and execution of user data governance across OpenAI. You will define technical direction, build shared platforms and controls, and lead cross-functional programs that make data flows discoverable, policies enforceable, and ownership explicit. This role is well suited to a senior engineer who can move between deep systems design and organization-wide influence, turn ambiguous requirements into pragmatic roadmaps, and operate high-trust systems end to end. This position is based in San Francisco. Relocation assistance is available. In this role, you will: - Set the technical strategy and architecture for user data governance across data mapping, classification, lineage, retention, deletion, access, and permitted usage. - Design and build shared services, APIs, metadata systems, and policy-enforcement mechanisms that make governance controls consistent, scalable, and auditable. - Establish reliable inventories of user data, system ownership, data flows, and policy applicability across products, infrastructure, analytics, and research systems. - Partner with Product, Data, Infrastructure, Security, and Legal leaders to define decision rights, translate requirements into controls, and drive adoption across teams. - Own governance systems in production through measurable controls, observability, migrations, exception handling, incident response, and continuous improvement. You might thrive in this role if you: - Have substantial experience designing and operating large-scale data platforms, privacy infrastructure, or governance systems in complex production environments. - Have led architecture and multi-team execution for one or more data-governance domains, such as metadata and lineage, retention and deletion, access governance, or data-use controls. - Can translate ambiguous policy, legal, security, and product requirements into clear system boundaries, technical standards, phased roadmaps, and measurable outcomes. - Influence senior stakeholders and engineering teams without relying on formal authority, communicate tradeoffs clearly, and build durable cross-functional alignment. - Take end-to-end ownership of high-trust systems, including correctness, scalability, auditability, operational resilience, and the developer and operator experience. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Backg

About the Team OpenAI’s People Experience & Technology (PXT) team owns the core people platform that powers worker, recruiting, contingent, approvals, and lifecycle workflows across the company. PXT is responsible for operating Workday, Ashby, and related people systems as governed, reliable sources of truth, while building the controls, monitoring, documentation, and auditability required to support scale. About the Role We’re hiring an Enterprise Systems Manager, Recruiting Systems to help own and harden OpenAI’s recruiting platform, with a focus on Ashby and its connected workflows. This is a hands-on systems role for someone who can translate recruiting process problems into governed, durable fixes through configuration, workflow design, access controls, documentation, reporting guardrails, and integration partnership. You will work at the boundary of Recruiting, HR Operations, Legal, Compensation, Analytics, IT, and PXT to improve the reliability and control health of recruiting workflows. The right person is comfortable going deep in system design while also driving rollout, adoption, and operational clarity. In this role you will: - Own specific recruiting workflow domains in Ashby and adjacent tools, including stages, fields, permissions, approvals, templates, and configuration standards. - Partner on high-priority remediation work across start dates, offers, approvals, integrations, auditability, data integrity, and workflow controls. - Design and implement governed workflow changes that balance recruiter usability with reporting trust, downstream integration reliability, and control requirements. - Establish and maintain guardrails such as required and conditional fields, stage definitions, role-based permissions, approval logic, validation patterns, and change standards. - Drive durable fixes for recurring operational issues by identifying root causes and resolving them through configuration, automation, documentation, or process redesign. - Partner with PXT, IT, vendors, and People Analytics on integrations, monitoring, incident response, and failure-mode reduction across the recruiting ecosystem. - Strengthen data quality by improving capture design, standard definitions, audit mechanisms, exception handling, and ongoing workflow governance. - Support controlled releases by coordinating testing, UAT, rollout planning, stakeholder communications, enablement, and post-launch monitoring. - Create and maintain SOPs, change records, training materials, and reference documentation that make recruiting systems easier to operate and less dependent on tribal knowledge. - Help define the longer-term operating boundary between platform ownership in PXT and day-to-day service support in RecOps. You might thrive in this role if you have: - Deep, hands-on expertise with Ashby. You have configured Ashby in production, know where the platform functions well and where it needs additional support, and have opinions on how to configure it effectively. - Strong working knowledge of recruiting workflows, offer processes, approvals, candidate and requisition data, and downstream system impacts. - Hands-on experience configuring workflows, fields, permissions, templates, approval logic, reports, or integrations in a production environment within Ashby and an HRIS; Workday experience is strongly preferred. - Demonstrated ability to lead scoped systems programs end to end, not only respond to break-fix queues or intake requests. - Sound judgment around change control, access governance, and workflows. - Experience with Workday or other HRIS / downstream people systems. - Experience with integration monitoring, analytics tooling, or workflow automation. - Experience in compliance-sensitive, audit-sensitive, or public-company-readiness environments. - Experience supporting global or multi-entity recruiting workflows. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligen

About the Team We are building general-purpose robotics. In the short term, we are focused on robots to support skilled workers to build our future infrastructure. In the long term, we imagine everyone having a personal robot doing anything they need. Progress is rapid, and based on a foundation of co-design between robotics hardware and ML research. About the Role As a Firmware Engineer, you will define and drive the architecture of embedded systems for next-generation hardware products. You will own foundational firmware decisions across real-time execution, device bring-up, hardware interfaces, fault handling, safety mechanisms, and production readiness. We’re looking for someone with deep experience building safety-critical or high-consequence systems, where failures can have meaningful consequences. You should be comfortable reasoning about risk, designing for diagnosability and graceful degradation, and creating engineering practices that raise the reliability bar for the entire team. You should also be unusually good at moving fast. Sometimes the right answer is a carefully reviewed architecture that will endure for years; sometimes it is getting a rough-but-useful prototype working by the end of the afternoon so the team can learn something concrete tomorrow. We value engineers who know the difference, make that call well, and can operate credibly in both modes. You will be both a technical leader and a hands-on builder: setting direction, reviewing critical designs, unblocking the hardest problems, and writing production firmware when it matters most. Our embedded stack uses a lot of Rust. Extensive experience in the language is a big help! This role is based in San Francisco, CA. This role will be expected to be in office 4 days per week and offer relocation assistance to new employees. In this role, you will: - Rapidly bring up new hardware and set execution pace for the team. - Lead firmware architecture for embedded systems spanning boot, RTOS/runtime behavior, peripheral control, power management, communications, and field diagnostics. - Define engineering standards for reliability, fault tolerance, observability, and maintainability across the firmware stack. - Design and review safety-critical mechanisms, including fault detection, recovery paths, watchdog strategies, redundancy where appropriate, and safe-state behavior. - Build quick, scrappy prototypes when speed of learning matters, then harden the right ideas into production-quality systems. - Partner closely with engineers in hardware, software, and AI research from early prototype through production. - Build rigorous bring-up, validation, and release processes for embedded platforms. - Establish testing strategies across unit, hardware-in-the-loop, integration, stress, and failure-injection testing. - Drive root-cause analysis for subtle hardware, firmware, and system interactions. - Make clear tradeoffs across performance, memory, power, schedule, and safety. - Mentor firmware engineers and help shape a culture of urgency, technical rigor, practical judgment, and high-quality execution. You might thrive in this role if you: - Have extensive experience developing firmware in an iterative environment. - Get a thrill from bringing up new hardware and taking end-to-end ownership over ensuring it works. - Have led architecture and delivery for complex embedded products that shipped to real users or operated in demanding production environments. - Are deeply fluent in low-level languages (we use Rust!) and comfortable working close to hardware under real-time constraints. - Understand embedded systems from first principles, including interrupts, scheduling, memory layout, buses, DMA, timing behavior, and failure modes. - Have strong instincts for defensive design, fault containment, validation depth, and post-deployment diagnosability. - Know when to build the durable system and when to produce the fastest credible artifact that unlocks the next decision. - C

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We’re looking for a product manufacturing engineer, who will be responsible for driving technical initiatives related to manufacturing to ensure product success from concept to launch and through mass production with a specific focus on PCB and PCBa manufacturing and process. You’ll have the opportunity to work with a wide range of stakeholders, from design engineering and operations teams,TPMs, external industry vendors and partners to ensure that all products are developed and delivered on time and to the highest quality standards. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - In this role, you’ll be responsible for driving manufacturing and quality initiatives to ensure product success from concept to launch - Lead the product design and the manufacturing process for next-gen AI hardware system development, you will have the opportunity to work with a wide range of stakeholders, from design engineering and operations teams, TPMs and external industry vendors and partners to ensure that all products are developed and delivered on time and to the highest quality standards. - Lead the team to establish NPI product manufacturing process, systems and quality controls, defining clear milestones and deliverables, drive internal process improvements across multiple terms and functions - Provide hands-on product manufacturing analysis during design, development, testing, prototypes and production phases. - Research automation techniques and develop new tests and systems for efficiency. - Own L6 up to potentially L10 product manufacturing development of the hardware product. This includes the PCB, PCBA, cabling and connectorization & L10 assembly spanning internal and external development work through successful deployment into the infrastructure and support of production workloads at scale - Develop and manage overall product manufacturing requirements, scope, schedules, and deliverables with engineering teams, TPMs, suppliers, partners and key stakeholders - Communicate effectively with cross-functional teams to ensure successful execution of programs - Utilize problem-solving skills to resolve issues and overcome obstacles, perform risk assessment, risk mitigation and change management on projects. - Manage multiple projects simultaneously - Monitor project progress and ensure deadlines and standards are met You might thrive in this role if you: - Have an impressive track record of leading complex projects from concept to production launch and have the ability to work with cross-functional teams to ensure successful execution of programs - Are a creative, detail-oriented, and self-motivated individual looking for an exciting opportunity in the tech industry, this could be the perfect role for you - Stay up to date on industry trends and manufacturing technologies for PCB & PCBa - Like being a close partner with cross-functional teams to understand key design changes requiring validation to accurately integrate engineering validation needs into the overall system build - Have experience driving development timelines for new platform introduction and managing internal review processes - Have significant experience driving creativity, quality, and schedule at multinational JDM/CMs & suppliers - Are deeply familiar with PCB material selection, PCBA, BOM component selection, assembly and rework process

About the Team The Codex Web Layer team provides the web-based systems and user experiences for Codex across the entire stack, from the Electron-like application framework that powers the application, to the user-facing in-app browser. About the Role In this role, you will be responsible for designing and implementing infrastructure and features end-to-end for the Codex desktop client application. You will help define what it means to be a hybrid agentic/interactive web browser. The team embodies “full stack” development from the lowest-level OS integration to the highest-level interaction design. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role you will: - Partner closely with product and design to conceive, design, and build features for Codex web browsing features on macOS and Windows. This role will focus mostly on the backend C++ layer and Chromium, but many features cross the full stack including some TypeScript. - Partner with the wider Codex team to deliver a high-performance, stable, and secure application platform for client development. This includes API design and implementation (mostly in C++) and the infrastructure that supports deploying it (in Python, TypeScript, and agentic skills). - Work with a small, experienced team of engineers on this critical and rapidly growing product. You might thrive in this role if you: - Have significant experience building technically complex features end-to-end. - Are a strong C++ developer, especially with experience in browser environments like Chromium and Electron. Since this role is more backend focused, general knowledge of web development and TypeScript is helpful but not required. - Thrive in a fast-paced, ambiguous environment. - Communicate clearly and concisely across many different roles in the organization. - Are self-directed, identifying important work and executing it end-to-end. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security o

Location: San Francisco, CA (Hybrid: 4 days onsite/week). Relocation assistance available. About the Team: We build foundational platform software that enables reliable, secure, and performant products. The team works across system layers and partners closely with adjacent engineering groups to deliver robust capabilities from concept through launch. About the Role: We’re seeking a System Software Engineer to design, implement, and debug core platform components and the pipelines that build and update system images. You’ll work across operating system layers, focusing on performance, security, and deep system debugging to ship production‑grade systems. In this role, you will: - Design, implement, and debug system‑level components and services across kernel and user space. - Configure and maintain OS platform services (init, services, networking, security policies) and related tooling. - Build and operate image and update pipelines, ensuring reliability, reproducibility, and rollback safety. - Instrument and analyze performance using profiling and tracing; optimize CPU, memory, I/O, and power usage. - Own platform observability and reliability: logging, crash capture, watchdogs, and diagnostics. - Collaborate with cross‑functional teams to define interfaces and deliver end‑to‑end features. - Establish strong engineering practices: code review, CI, reproducible builds, and release management. - Partner with external suppliers to support builds and deployments. You might thrive in this role if you: - Have shipped production systems software on modern operating systems. - Are proficient in C/C++ and a scripting language, and comfortable with OS internals (concurrency, memory management, filesystems, networking, power management). - Bring strong systems debugging skills using debuggers, tracers, profilers, and logs across kernel/user‑space boundaries. - Understand configuration of platform services and interfaces, and can translate requirements into stable, well‑documented APIs. - Are fluent in user‑space foundations (service management, IPC, networking, packaging, automation). - Have experience building platform images and designing update mechanisms for reliability and security. Preferred Qualifications: - Exposure to platform security (secure boot, sandboxing, mandatory access controls, attestation). - Experience with graphics/media, hardware acceleration, or high‑throughput data paths. - Familiarity with connectivity stacks and network configuration. - Observability and diagnostics in distributed or resource‑constrained environments. - Work on open‑source platforms or contributions to systems projects. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorpor

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role You will develop and evolve the tooling ecosystem that hardware engineers rely on every day — from hardware compilers and IR transformations to simulation, debugging, and automation infrastructure. The work spans software engineering, compiler concepts, and practical hardware workflows, with direct impact on how quickly and effectively we design next-generation AI systems. You’ll collaborate closely with architects, RTL designers, and verification engineers to translate real engineering friction into durable, scalable tooling solutions. In this role you will: - Build and improve the software tooling that makes hardware teams faster: compilation, IR transforms, RTL generation, simulation, debug, and automation. - Extend and integrate hardware compiler stacks (frontends, IR passes, lowering, scheduling, codegen to Verilog/SystemVerilog) and connect them to real design workflows. - Improve developer experience and reliability: reproducible builds, better error messages, faster iteration loops, and dependable CI and regression infrastructure. - Work closely with designers and verification engineers to turn real pain points into durable tools. - Dive into RTL when needed: read and reason about Verilog/SystemVerilog to debug issues, validate tool output, and improve debuggability. - Be willing to go all the way down the stack when necessary, including gate-level views, synthesis results, and implementation artifacts. - Help enable PPA optimization loops by building analysis and automation around area, timing, and power tradeoffs, and by improving tooling that impacts those outcomes. You might thrive in this role if: - Demonstrated ability to build and maintain software (projects, internships, research, open source, or equivalent experience). - Strong CS fundamentals: data structures, algorithms, debugging, and software design. - Proficiency in at least one of Rust, C++, or Python (and willingness to learn the rest). - Familiarity with digital design concepts and the ability to read RTL (Verilog/SystemVerilog) or equivalent hardware descriptions. - Familiarity with compiler or IR-based ideas (representations, passes, transformations, lowering), through coursework or projects. - Comfort operating in ambiguity and iterating quickly with users of your tools. Nice to have skills: - Exposure to compiler and hardware toolchains such as XLS/DSLX, LLVM, Chisel/FIRRTL, CIRCT/MLIR, other novel hardware languages (e.g. HardCaml, SpinalHDL, Spade, PyMTL, Clash, BlueSpec, PyRope) - Experience with Verilog tooling ecosystems (Yosys/RTLIL, Verilator, Slang) or writing tooling around them. - Experience with build and test infrastructure (Bazel, CI systems, fuzzing, performance testing). - Prior work touching synthesis, place and route, static timing analysis, or other PPA-related workflows. To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that

About the Team OpenAI’s mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. Achieving this goal requires more than cutting-edge research—it also demands deep, durable engagement with policymakers, institutions, industry leaders, and communities shaping the future of AI around the world. The Global Affairs team leads this engagement globally, building trusted relationships with governments, regulators, civil society organizations, academic institutions, and strategic partners. By bringing external perspectives into OpenAI—and helping communicate OpenAI’s priorities outward—we support thoughtful governance frameworks, responsible standards, and public understanding of AI technologies. We work closely across research, product, legal, communications, partnerships, and go-to-market teams to anticipate emerging issues, shape proactive engagement strategies, and advance OpenAI’s mission internationally. About the Role OpenAI believes that access to AI tools and training should expand opportunity—not deepen existing divides. We're looking for a Workforce Program Manager to help scale Global Affairs' workforce initiatives and Certifications programs. This person will build and manage partnerships with workforce development organizations, community colleges, nonprofits, employers, governments, and other institutions working to prepare people for an AI-enabled economy. You'll play a critical role in translating OpenAI's workforce vision into practical programs that help people build skills, gain confidence using AI, and access new economic opportunities. Key Responsibilities PARTNERSHIP DEVELOPMENT & MANAGEMENT - Identify, cultivate, and manage relationships with workforce organizations and strategic partners. - Serve as the primary point of contact for Global Affairs Certifications partnerships. - Support partnership design, implementation, renewals, and expansion opportunities. - Coordinate with partners to establish goals, success metrics, and reporting structures. PROGRAM STRATEGY & EXECUTION - Support the launch and execution of workforce initiatives focused on AI literacy, upskilling, and economic opportunity. - Collaborate with Academy, Certifications, GTM, and Product teams to align programs and resources. - Develop playbooks and implementation guidance for workforce partners. - Monitor outcomes and synthesize learnings to inform future programming. EXTERNAL ENGAGEMENT - Represent OpenAI at conferences, workshops, and partner meetings. - Facilitate trainings, roundtables, and stakeholder discussions. - Help identify emerging workforce trends and opportunities for impact. - Contribute to briefing materials, presentations, and thought leadership content. You’ll be responsible for: - Experience managing partnerships and programs within workforce development, education, nonprofit, or public-sector environments. - Strong relationship-management and stakeholder-engagement skills. - Experience executing multi-stakeholder initiatives from concept through implementation. - Excellent communication and project management abilities. - Passion for expanding access to opportunity through technology and education. - Interest in AI literacy, workforce transformation, and the future of work. - Experience working with workforce boards, community colleges, labor organizations, or economic development entities. - Familiarity with credentialing, certifications, or adult learning programs. - Experience navigating public-private partnerships. - Comfort operating in fast-paced, ambiguous environments. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and

About the team The Computer Use and New Interfaces team is focused on discovering and building the next generation of AI-native interfaces. We believe that the value of AI is increasingly constrained not by model capabilities, but by the ways people interact with those capabilities. Our mission is to create new interaction paradigms that unlock the full potential of AI and integrate it more deeply into people's lives and work. Our team does both near-term product development and longer-term product incubation that can influence experiences across ChatGPT, Codex, future OpenAI products, and emerging device platforms. We work in a highly collaborative, design-driven environment where engineering, product, and design operate as one team. We value rapid experimentation, prototyping, and iteration, creating the shortest possible path between an idea, a working system, and a product decision. About the role We're looking for exceptional engineers who are excited to invent entirely new ways for people to interact with AI. You'll work at the intersection of engineering, product, and design to explore, prototype, and build novel interface concepts that push beyond traditional software paradigms. This role requires comfort with ambiguity, strong product instincts, and a willingness to move fluidly between experimentation and production systems. You'll help shape both the capabilities and the user experiences that define how people engage with AI. In this role you will: - Design, prototype, and build novel AI-native interfaces and interaction models. - Develop foundational technologies and frameworks that enable generative UI and computer use experiences. - Collaborate closely with designers, product thinkers, and engineers to rapidly explore and validate new concepts. - Build end-to-end prototypes and production systems that can influence future OpenAI products. - Contribute to platform technologies that can be adopted across multiple product surfaces. - Help establish technical direction and engineering best practices for an incubation-stage team. - Participate in a highly iterative development process focused on learning, experimentation, and user feedback. You might thrive in this role if you: - Have strong software engineering fundamentals and experience building user-facing products. - Enjoy working in ambiguous, fast-moving environments where the path forward is not always obvious. - Have experience with Apple platforms, Windows, or desktop development - Are excited by zero-to-one product development and early-stage exploration. - Have a strong product sense and enjoy thinking deeply about user experience and interaction design. - Can rapidly prototype ideas while also building robust, scalable systems when needed. - Are energized by cross-functional collaboration and enjoy working closely with design and product partners. - Are curious about how AI will transform software and motivated to help define what comes next. - Believe that breakthrough products emerge from tight feedback loops between ideas, prototypes, technology, and users. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.ope

ABOUT THE TEAM: OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We are seeking a Manufacturing Test Engineer to own and drive manufacturing test strategy, development, and execution for complex AI hardware systems. This role will define and implement test coverage across the product lifecycle, including ICT, functional circuit test, tray-level functional test, and system manufacturing test. You will work closely with hardware design engineering, diagnostic/software teams, manufacturing engineering, quality, and external system integrators and suppliers to translate product requirements into robust, scalable, and production-ready test solutions. You will also play a key role in reviewing test data, debugging failures, improving yield, and ensuring manufacturing test readiness from early development through volume production. IN THIS ROLE, YOU WILL: - Define and drive the manufacturing test strategy for boards, trays, and system-level hardware assemblies across EVT, DVT, PVT, and production ramp. - Develop and manage test coverage for: - ICT / structural test - FCT / board-level functional test - Tray-level functional and integration test - System-level manufacturing and bring-up test - Partner closely with electrical engineering, system engineering, and diagnostic/software teams to define test requirements, review manufacturing test scripts and diagnostics, validate failure isolation needs, debug hooks, logging, and production screening strategies. - Translate engineering requirements into practical, scalable manufacturing test plans that balance coverage matrices; review and approve EVT/DVT/PVT and production test plans, pass/fail criteria and release gates while balancing coverage, test time, debug efficiency, cost, and production throughput. - Collaborate with system integrators, JDMs, contract manufacturers, and equipment vendors to implement and qualify test stations, fixtures, automation, software, equipment configurations, calibration plans, operator procedures, golden-unit correlation and production workflows. - Review and analyze manufacturing test results, test logs, diagnostic outputs, yield trends, failure paretos, false-failure rates, and station correlation data to identify gaps and drive corrective actions. - Lead or support debug of manufacturing test failures, working cross-functionally to determine whether issues stem from design, process, fixture, software, component, or operator variation. - Drive continuous improvement of test processes, including coverage expansion, cycle-time reduction, parallelization opportunities, power & cooling efficiency optimization, station reliability, data quality, and test escape prevention. - Ensure manufacturing test readiness for new product introduction, including test specifications, validation plans, GR&R/correlation studies, station acceptance, and production release criteria. - Help establish scalable standards and best practices for manufacturing test development across OpenAI’s rapidly growing hardware portfolio. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have experience developing and deploying manufacturing test solutions for complex electronics, servers, networking systems, or high-performance compute hardware. - Understand board-level and system-level test methodologies, including ICT, boundary scan, functional test, burn-in, stress test, and production diagnostics. - Are comfortable working across both engineering development and factory execution, and can bridge the gap between design intent and production implementation.

ABOUT THE TEAM The Support team is central to ensuring that our customers' experience with our products is nothing short of exceptional. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. ABOUT THE ROLE As a Product Engagement Manager on the User Operations team, you will lead a team of Product Engagement Specialists responsible for ensuring smooth, successful product launches across internal and external teams. You’ll be the glue connecting product teams and support operations, equipping teams with the tools and knowledge needed to support new product rollouts. You’ll build scalable feedback loops that capture the voice of the user and translate insights into actionable product improvements, and ensure that frontline teams have the knowledge and skills to deliver accurate, delightful customer interactions at scale. We’re looking for someone who thrives at the intersection of product management, team enablement, and customer advocacy, and who enjoys working cross-functionally in a fast-paced, evolving environment. This person will manage the day-to-day work while also helping architect the systems needed to scale it. The successful candidate will be a leader-coach who can lead a small team while continuing to perform individual contributor work. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. IN THIS ROLE, YOU WILL: - Lead a team coordinating product launches across internal and external teams, ensuring seamless execution and support readiness. - Set the team’s strategy and priorities, translate them into clear goals and quality standards, and allocate capacity to deliver against them. - Build a high-performing team through ongoing coaching, feedback, development, and performance management. - Build scalable feedback loops between support, Product, and Engineering so customer insights inform product development and strategy. - Advocate for users by representing their needs and pain points in product and engineering discussions. - Partner with Product, Engineering, Marketing, and Operations to align on launch goals and timelines. - Monitor post-launch performance and gather support data to assess product impact and inform improvements. - Document and standardize launch procedures to make them repeatable and scalable. - Identify launch risks and propose solutions that minimize disruption to customers. - Report on feedback-loop performance, including key insights, trends, and recommendations for the product roadmap. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have experience leading product enablement or launch-readiness functions at scale, particularly in a customer support environment. - Have shipped tooling or automations that reduced manual work and scaled beyond a single team (workflows, dashboards, scripted automation, lightweight pipelines)." - Have experience in product management with automation and tool development, using metrics and feedback to improve decisions and processes. - Build strong cross-functional relationships with Product, Engineering, and Operations teams. - Are passionate about customer advocacy and can translate customer feedback into strategic product insights. - Are highly organized and able to manage multiple projects with competing deadlines. - Communicate technical concepts and customer pain points clearly to diverse audiences. - Take ownership of initiatives from ideation through implementation and post-launch analysis. - Thrive in a fast-paced environment with shifting priorities. About OpenAI OpenAI is an AI research and deployment comp

About the team The Technical Success team is responsible for ensuring the safe and effective deployment of ChatGPT and OpenAI API applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, ensuring developers and enterprises maximize value from our models and products. The Ecosystem team builds and scales third-party integrations around ChatGPT and Codex. We work across product, engineering, partnerships, safety, legal, policy, and go-to-market to create integrations that are useful, trustworthy, and technically sound. About the role We’re looking for an Applied Deployment Engineer to help build and deepen ChatGPT integrations with third-party messaging platforms. The initial focus will be on partner work as well as future opportunities with other messaging apps around the world. This is a hands-on, partner-facing engineering role. You’ll work closely with external product and engineering teams to improve existing integrations, expand capabilities such as image generation, increase retention, and translate partner needs back into OpenAI’s product and engineering roadmap. You should be comfortable writing code daily, making changes across platform or monorepo surfaces when needed, and moving fluidly between technical discovery, product tradeoffs, prototyping, debugging, and executive-level communication. This role is best suited for a strong product-minded engineer with excellent communication skills, sound technical judgment, and the ability to work across cultures, time zones, and organizations. This role is based in our San Francisco office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Partner with messenger app product and engineering teams to design ChatGPT-powered experiences that fit naturally into chat, group, contact, and app-tab surfaces. - Deepen existing partner integrations, with an initial focus on improving user experience, retention, reliability, and feature set. - Build prototypes, integration guides, reference flows, and launch checklists that help partners move from concept to production. - Debug API, latency, authentication, quota, quality, and user-experience issues across partner and OpenAI systems. - Translate privacy, trust, login, and data-handling requirements into clear technical constraints and implementation plans. - Work with product, engineering, design, partnerships, legal, policy, and support teams to make partner launches reliable, scalable, and maintainable. - Capture repeatable patterns from messenger integrations and turn them into reusable playbooks for future ecosystem partners. - Travel periodically to meet with international partners during key integration, launch, and post-launch milestones. You’ll thrive in this role if you: - Have a strong software engineering background and still enjoy writing code daily. - Have built or deployed API integrations with external partners and can reason across client, backend, auth, privacy, reliability, and UX constraints. - Bring strong product sense and design judgment, especially for consumer-facing experiences. - Can make ambiguous product ideas concrete without over-specifying partner-specific internals. - Communicate clearly with engineers, product leaders, executives, and business stakeholders. - Are comfortable debugging distributed systems and narrowing broad performance or reliability issues into actionable hypotheses. - Care deeply about user trust, privacy, and product quality, especially in communication surfaces where context is sensitive. - Can balance urgency with judgment and keep launches moving without skipping the details that matter. Preferred qualifications: - Experience working on B2C consumer, social, or messaging products. - Experience working with international partners or in cross-cultural product and engineering environments. - Familiarity with OAuth/login flows, API rate limits, web

About the Team The Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products, including next-generation ads experiences, that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation. Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers, advertisers, and businesses. This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring new ad experiences into real-world systems across OpenAI surfaces at global scale, including thoughtfully integrating them into the core ChatGPT experience. About the Role We’re looking for an Android Engineer to help build the native Android experiences and client-side systems that power how ads are structured, rendered, and delivered across OpenAI’s ads ecosystem. This role sits within the Ads Formats team, which owns the creative rendering and presentation layer for next-generation ads experiences across different surfaces and media types. You’ll help build the Android infrastructure and tooling that support formats such as text, image, video, native, conversational, and interactive ads, while ensuring they render reliably and perform efficiently across platforms. You’ll work closely with backend, Product, Design, Research, and Safety partners to shape Android architecture that supports user-first, privacy-preserving monetization experiences within ChatGPT and OpenAI’s broader mobile ecosystem. In this role, you will - Build and ship ads format experiences on Android, including text, image, video, native, conversational, and interactive ad surfaces. - Design and maintain shared Android frameworks and primitives for ad rendering, creative presentation, media handling, format validation, and policy-aware UX patterns. - Own complex Android systems end-to-end across UI architecture, networking, local persistence/state, observability, rendering performance, and release processes. - Build robust integrations with Android platform and ecosystem components, including media playback, deep links, device capabilities, and app lifecycle behavior. - Optimize performance, reliability, and responsiveness at global scale, including rendering quality, scrolling performance, startup time, media load latency, network resiliency, battery usage, and crash-free sessions. - Establish and evolve testing and quality systems, including unit, integration, UI, screenshot, automated regression, and release validation workflows. - Collaborate with Product, Design, Research, backend, and Safety to deliver ads experiences that meet OpenAI’s highest standards for safety, privacy, fairness, and policy compliance. - Provide technical leadership through architecture reviews, mentoring, and setting engineering standards across Android ads formats and monetization surfaces. You might thrive in this role if you - Have 4+ years of professional software engineering experience with meaningful Android ownership. - Have a track record of building and shipping high-quality Android applications in production, especially for user-facing, performance-sensitive, or trust-sensitive flows. - Are fluent in Kotlin and comfortable with Android tooling and architecture, including Gradle, Android Studio, modern app architecture patterns, and Jetpack Compose. - Have experience building polished mobile UI systems, media-rich experiences, rendering frameworks, design systems, or reusable product infrastructure. - Enjoy

About the Team The Growth and Support Services team is responsible for building and maintaining the systems, data foundations, and operational processes that support our go-to-market and customer-facing teams. The team partners closely with Revenue Operations, Business Systems, Data Engineering, Analytics, Sales, Marketing, Customer Success, Support, Security, and other cross-functional stakeholders. Our work helps ensure that customer and prospect data is accurate, consistent, secure, and actionable across the full customer lifecycle. About the Role As a Data Architect, you will define and improve the data architecture supporting our go-to-market systems and enterprise CRM environment. You will lead efforts to improve Salesforce and internal data from initial lead acquisition and enrichment through sales, onboarding, customer success, and support. You will design scalable data models, establish system-of-record definitions, improve integrations, and lead data-quality and governance initiatives across customer, account, contact, lead, opportunity, and support data. We’re looking for people who combine strong technical expertise in enterprise data architecture with hands-on experience improving complex CRM environments. You should be comfortable working across architecture, data modeling, integration design, governance, and implementation. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role you will: - Define the target architecture for customer, account, contact, lead, opportunity, activity, campaign, and support data. - Assess and improve Salesforce data across the lead-to-support lifecycle. - Design canonical data models, entity relationships, identity-resolution rules, and system-of-record definitions. - Lead data-cleansing and remediation initiatives, including deduplication, normalization, enrichment, validation, and historical cleanup. - Establish matching, merging, and survivorship rules for people, companies, accounts, and related records. - Architect integrations between Salesforce, data warehouses, operational systems, support platforms, and third-party data providers. - Define standards for field definitions, lifecycle stages, ownership, metadata, lineage, retention, and access controls. - Implement automated monitoring for data quality, completeness, freshness, consistency, and integration failures. - Improve the flow of data between marketing, sales, customer success, and support systems. - Evaluate third-party data sources and define how external data should be matched, validated, and incorporated into enterprise systems. - Partner with Business Systems, Revenue Operations, Data Engineering, Analytics, Security, and business stakeholders to translate operational requirements into durable technical solutions. - Produce architecture diagrams, data dictionaries, integration specifications, governance documentation, and implementation guidance. - Provide technical leadership and guide teams through complex data architecture and system-design decisions. - Support and improve integrations involving Salesforce and go-to-market data platforms such as Clay, PitchBook, ZoomInfo, HG Insights, Cognism, Harmonic, and Meticulate. You might thrive in this role if you: - Have deep expertise in enterprise data architecture, data management, data engineering, or a related technical discipline. - Have strong hands-on experience with Salesforce data architecture, including leads, contacts, accounts, opportunities, activities, campaigns, and support-related objects. - Have successfully cleaned, restructured, or migrated large and complex enterprise CRM datasets. - Understand master data management, identity resolution, entity matching, deduplication, metadata management, data lineage, and data governance. - Have experience designing batch, API-based, event-driven, and reverse-ETL integrations. - Have advanced SQL skills

About the Team Codex is OpenAI's software engineering agent. Codex Security extends that work into one of the most important product areas in AI: helping organizations find, validate, prioritize, and fix real vulnerabilities in the software they build and depend on. The Codex Cyber team is building the product and platform foundations for AI-native application security. This includes Codex Security product experiences, cloud-based security analysis, platform controls across Codex, customer deployment and support tooling, and infrastructure that helps security researchers and cyber models improve over time. The team is early, small, and growing quickly, with a mandate to move fast and hire exceptional builders. About the Role We are looking for software engineers first: strong full-stack or product-minded generalists who can own ambiguous product and platform problems end to end. Security experience is helpful, and security curiosity is important, but this is not a role for security specialists who only occasionally write code. The right person is an excellent builder who is excited to work in security and can turn complex research, product, and customer needs into reliable systems. You will work across user-facing product surfaces, developer workflows, backend services, security analysis pipelines, cloud infrastructure, and internal tooling. You may build features that make Codex Security more useful for application security teams, systems that scale cloud-based security analysis, platform controls that make agentic coding safer, or infrastructure that helps security researchers and models become more effective. You will collaborate closely with engineering, product, security research, infrastructure, and customer-facing partners as Codex Cyber becomes a major product and platform investment for OpenAI. In this role, you will: - Build end-to-end product features for Codex Security, from developer-facing interfaces to APIs, backend services, and workflow tooling. - Own ambiguous 0-to-1 projects across product pods, platform security controls, customer deployment workflows, and cyber model infrastructure. - Translate security research and model capabilities into intuitive workflows that help teams find, validate, prioritize, and remediate vulnerabilities with high signal. - Design scalable, observable systems for long-running analyses across large codebases and enterprise environments. - Partner with product, security research, infrastructure, and customer-facing teams to iterate quickly from real-world feedback. - Help shape the technical direction and architecture of Codex Cyber as the team and product surface area grow. You might thrive in this role if you: - Are an excellent software engineer with strong fundamentals and enough range to work across product, backend, infrastructure, and developer tooling. - Enjoy building high-quality product and platform experiences across the full stack. - Are high-agency, low-drama, and comfortable owning features from concept to production in a fast-moving environment. - Have built developer tools, workflow-heavy platforms, security products, internal infrastructure, or product features for technical users. - Have strong product instincts and care about making complex technical systems understandable and useful. - Are excited by security and AI. Direct experience in product security, application security, vulnerability research, defensive security, identity, SSO, or secure developer workflows is a plus, not a requirement. - Like ambiguous 0-to-1 work and can turn messy requirements into crisp, scalable systems. Goals & impact - Build AI-native security products that help users find and fix important vulnerabilities in real software systems before attackers do. - Increase the usefulness and trustworthiness of Codex Security by turning research insights into dependable workflows, product surfaces, platform controls, and remediation tooling. - Help define a new category of security tooling w

About the Team Our team analyzes inference stack performance across the application, model, and fleet layers to identify bottlenecks and drive faster, cheaper inference. We combine systems profiling, benchmarking, and analysis to understand where time and cost are spent, then turn that understanding into performance optimizations and models that project performance and capacity needs for future launches. About the Role In this role, you will model inference performance across application, model, and fleet layers with higher fidelity. You will build cost-to-serve estimates from microbenchmarks and create tools that help cross-functional teams reason about latency, capacity, utilization, and cost tradeoffs. In this role, you will Build and refine performance models that translate microbenchmark results into cost-to-serve estimates. Analyze inference workloads end to end across applications, models, and fleet infrastructure. Enhance tooling to identify bottlenecks across layers for latency and throughput. Partner with other teams to turn performance insights into concrete improvements and project how future changes affect inference. You might thrive in this role if you: Enjoy reasoning from first principles about distributed systems, model inference, and hardware efficiency. Are comfortable working across abstraction layers, from application behavior to kernels, accelerators, networking, and fleet scheduling. Have deep expertise with performance profiling, benchmarking, analysis, and optimization. Enjoy collaborating with engineering and research teams to improve real production systems. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can b

About the Team OpenAI's Industrial Compute organization is responsible for planning, delivering, operating, and optimizing the compute infrastructure that powers frontier AI. As OpenAI scales toward becoming an intelligence utility, Industrial Compute coordinates a complex lifecycle spanning infrastructure strategy, capacity planning, provider partnerships, fleet operations, product demand, and financial planning. The organization manages one of the largest and fastest-growing compute footprints in the world, where decisions around capacity allocation, deployment readiness, utilization, reliability, and product demand directly impact product availability, customer experience, and business performance. The Capacity Systems team builds the software platforms, data systems, and automation frameworks that connect these functions into a shared operating model. We transform fragmented planning workflows into scalable systems that enable teams to understand what compute was contracted, delivered, healthy, allocated, and ultimately converted into business and research outcomes. About the Role We are seeking a Capacity Systems Software Engineer to build the platforms and services that power Industrial Compute planning, forecasting, optimization, and operational decision-making. In this role, you will design and develop software systems that connect infrastructure delivery, fleet health, capacity allocation, demand forecasting, deployment readiness, financial planning, and product consumption into a unified system of record. Your work will help OpenAI make better decisions about where compute should be deployed, how capacity should be allocated, and how infrastructure investments translate into business value. You will partner closely with Capacity Planning, Fleet Operations, Infrastructure Engineering, Product, Finance, Supply Chain, and Strategic Sourcing teams to replace spreadsheet-driven workflows with scalable software systems that enable visibility, automation, and decision support across OpenAI's global compute footprint. This role is ideal for engineers who enjoy building internal platforms, operational systems, workflow automation, and data-intensive applications that sit at the intersection of software, infrastructure, and business operations. This role is based in San Francisco and follows OpenAI's hybrid work model of 3 days per week in the office. Why This Role Matters Demand for compute is growing faster than traditional planning systems can support. Capacity decisions increasingly require understanding complex tradeoffs across infrastructure delivery, fleet health, model deployment, latency, utilization, cost, revenue impact, and operational risk. The systems built by this team help transform compute from a collection of disconnected operational signals into a measurable, optimizable business capability. Success in this role will help create a world where every major unit of compute can be traced from infrastructure commitment through delivered business value, enabling faster launches, higher utilization, improved operational efficiency, and better decision-making across OpenAI. Key Responsibilities - Design and build software systems that serve as the system of record for Industrial Compute planning and operations. - Develop backend services, APIs, workflows, and data platforms that support capacity forecasting, allocation, deployment readiness, and operational planning. - Build applications that connect infrastructure delivery, fleet health, capacity utilization, product demand, and financial planning into a shared operational view. - Build planning and scenario-modeling systems that help leaders understand tradeoffs across capacity, utilization, cost, reliability, launch timing, and business impact. - Create workflow automation and decision-support tooling that improves planning accuracy and reduces operational overhead. - Partner with Capacity Planning, Fleet Operations, Product, Finance, Infrastructure Engineering,

About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples' lives. About the Role You will work at the cutting edge of OpenAI's robotics hardware, partnering with hardware and software teams to develop, build, test, and iterate on robotic systems. Working closely with engineers, you will build prototypes, execute experiments, fabricate fixtures, troubleshoot hardware, and help drive rapid iteration on new robotic technologies. Your practical problem-solving and technical judgment will help move projects from concept to reality. We are looking for versatile, hands-on generalists who enjoy solving problems across mechanical, electrical, fabrication, and experimental domains. The ideal candidate will have strong experience in high-velocity and early-stage hardware development environments, provide thoughtful feedback to engineering teams, and help improve both hardware and development processes. This role will help accelerate robotics development by enabling fast, high-quality iteration on new hardware concepts and systems. This role is based in San Francisco, CA, and is in-person 5 days a week. In this role, you will: - Partner closely with engineers, researchers, and other members of the robotics team to support prototype development, experimentation, and hardware iteration. - Build, modify, troubleshoot, and repair robotic systems and electromechanical assemblies spanning structural, electrical, sensing, and actuation subsystems. - Design and fabricate fixtures, adapters, test equipment, and other prototype hardware that accelerate development efforts. - Execute low-volume builds, engineering changes, and rework activities across robotic systems, including mechanical assemblies, wire harnesses, and custom electronics. - Develop, execute, and support hardware experiments in partnership with engineering teams. - Build and rework wire harnesses, custom electronics, and other prototype hardware used in robotic systems. - Maintain lab equipment, tooling, inventory, and workspaces. - Develop and refine processes that improve build quality, repeatability, documentation, and overall lab efficiency. - Use software tools to configure hardware, collect data, document work, and interact with robotic systems. - Identify technical risks, challenge assumptions when appropriate, and provide feedback that improves hardware reliability, manufacturability, and experimental quality. You might thrive in this role if you: - Have demonstrated experience working hands-on with complex electromechanical or robotic systems. - Are highly effective at troubleshooting electrical systems and using common electronic test equipment. - Are comfortable interpreting schematics, wiring diagrams, mechanical drawings, and technical documentation. - Have experience building, modifying, and debugging wire harnesses, custom electronics, and assemblies. - Quickly understand the constraints of a problem, identify risks, and propose practical solutions. - Are an excellent technical communicator who collaborates effectively across disciplines. - Take pride in producing high-quality work and maintaining strong attention to detail. - Thrive in fast-paced environments with a wide variety of projects and responsibilities. - Are comfortable learning unfamiliar tools, equipment, and technologies as projects evolve. - Are comfortable working with the Linux command line. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our

ABOUT THE TEAM The Scaling team designs, builds, and operates critical infrastructure that enables research at OpenAI. Our mission is simple: accelerate the progress of research towards AGI. We do this by building core systems that researchers rely on - ranging from low-level infrastructure components to research-facing custom applications. These systems must scale with the increasing complexity and size of our workloads, while remaining reliable and easy to use. ABOUT THE ROLE We’re looking for an experienced software engineer to design, develop, and operate production-critical software infrastructure end to end across its full production lifecycle. This role is centered on backend / systems engineering, with emphasis on low-level performance, scalability, distributed systems, and hands-on development and operation of critical services at scale. You’ll take ambiguous problems, turn them into concrete plans, ship pragmatic solutions quickly, and improve them through production feedback and iteration. This is not a general Python backend role. We’re specifically looking for strong systems experience in Rust or C++, especially in performance-sensitive infrastructure. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. IN THIS ROLE, YOU WILL: - Own critical infrastructure across design, implementation, rollout, operation, and iteration. - Build and operate performant backend systems in Rust or C++ that support core research workflows. - Design and improve distributed data and serving systems, including tradeoffs around partitioning, replication, consistency, retries, backpressure, and failure isolation. - Debug real production bottlenecks across latency, throughput, contention, hot spots, and overload behavior. - Operate business-critical services through on-call, incidents, postmortems, observability, alerting, safe rollouts, rollback plans, and zero-downtime migrations. - Improve reliability of services running on Kubernetes, including resource tuning, failure handling, and production readiness. - Partner closely with engineers and researchers to deliver fast, reliable, useful systems. - Raise the bar through strong technical judgment, ownership, and follow-through. YOU MIGHT THRIVE IN THIS ROLE IF YOU HAVE: - A track record of owning operationally critical systems end to end and delivering outcomes in ambiguous environments. - Strong hands-on experience building performance-sensitive backend systems in Rust or C++. - Comfort working below typical service abstractions, including concurrency, async execution, memory behavior, serialization, I/O, networking, profiling, and failure analysis. - Experience designing, building, or operating distributed systems or distributed databases at meaningful scale. - Preferably, experience with ClickHouse-like systems or infrastructure for analytics, telemetry, logging, search, ingestion, storage, or query execution. - Hands-on experience with production infrastructure and delivery tooling, including Kubernetes, Terraform or equivalent infrastructure-as-code tooling, Prometheus or equivalent observability / metrics tooling, and CI/CD pipelines or equivalent release automation. - Hands-on experience operating production-critical systems across the full lifecycle, including incidents, observability, alerting, safe rollouts, rollback plans, and recurrence prevention. - Strong judgment in balancing engineering quality, speed, risk, and business impact. - A habit of shipping practical first versions and improving them through production feedback. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at

About the team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the role The Go To Market (GTM) team at OpenAI is dedicated to helping customers realize the transformative potential of AI technology. We are seeking a Revenue Operations Manager to support and optimize the operations within our Technical Success team, working closely with cross-functional teams to drive operational excellence and maximize customer impact. As a Revenue Operations Manager, you will focus on designing processes that enhance the customer experience, optimizing internal workflows, and delivering data-driven insights that support strategic decision-making across teams. In this role, you'll: - Design and implement processes to support the OpenAI Technical Success team, ensuring seamless management of customer interactions throughout the lifecycle, from onboarding to ongoing technical support and services delivery. - Work closely with technical teams to ensure that operational processes are scalable and efficiently integrated into customer success workflows. - Define and track key performance indicators (KPIs) specific to technical success, developing and maintaining dashboards to provide actionable insights to stakeholders and leadership. - Manage capacity and coverage strategy for the Technical Success team, working with leadership to ensure alignment with business objectives and offering data-driven recommendations for improvements. - Partner with the data team to ensure the integrity and accuracy of data, enabling effective reporting and decision-making for revenue-generating activities. - Lead strategic analyses to identify trends, gaps, and opportunities for process optimization; lead cross-functional projects to drive those optimizations. You might thrive in this role if you have: - Experience in revenue operations or strategy at a high-growth, technology company - Strong analytical skills with a focus on attention to detail - Exceptional project management skills, with experience leading complex, cross-functional initiatives - Strong communication skills and executive presence - An understanding of the AI landscape, our applications, and the problems they solve for our customers. - The ability to thrive in ambiguity and work autonomously - Exceptional organizational skills - The ability to operate with high horsepower, be adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthless prioritization About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.

About the Team With Codex we’re building an AI software engineer. One that you can pair with, delegate to, or even ask to take on future tasks proactively. Our team is a fast-moving group within OpenAI, bringing together research, engineering, design, and product. We iteratively build the Codex agent harness and product to get the most out of the model, and we iteratively train the model to be great at complex software engineering tasks. The Codex team is responsible for building state-of-the-art AI systems that can write code, reason about software, and act as intelligent agents for developers and non-developers alike. We operate across research, engineering, product, and infrastructure; owning the full lifecycle of experimentation, deployment, and iteration on novel coding capabilities. Codex Enterprise builds the ecosystem, governance, and enterprise capabilities that help Codex spread across developers, teams, and organizations worldwide. The User Activation team owns the product experiences that help developers discover Codex, understand its capabilities, connect it to their workflows, and turn initial usage into sustained adoption across teams. About the Role As Codex adoption grows, our challenge is no longer just building powerful AI capabilities. It is helping developers and teams quickly understand how Codex fits into their work, connect it to the tools and codebases they already use, and unlock workflows that make Codex feel like a true teammate. This role will help build the full-stack product surfaces that drive activation and adoption across Codex Enterprise. You will work across onboarding, workspace setup, integrations, discovery, collaboration, usage insights, and ecosystem capabilities that help Codex spread naturally through organizations. You will partner closely with product, design, research, infrastructure, GTM, and customers to identify where users get stuck, where teams fail to adopt Codex, and what product experiences can turn curiosity into repeatable value. This role owns systems end-to-end: from polished frontend experiences to backend services, experimentation, analytics, and production operations. In this role, you will: - Build onboarding, setup, and discovery experiences that help developers quickly connect Codex to their repositories, tools, environments, and existing workflows. - Create product surfaces that help users discover Codex capabilities, including plugins, skills, integrations, templates, recommendations, and workflow entry points. - Build collaborative team experiences that make Codex easier to adopt across organizations, including workspace setup, invitations, sharing, team-level configuration, and usage visibility. - Develop full-stack systems across web, IDEs, CLI, and integrations, balancing polished user experience with reliable backend architecture. - Partner with product and design to run experiments, understand activation funnels, identify adoption blockers, and iterate quickly based on real user behavior. - Work directly with customers, GTM, and Forward Deployed teams to translate real-world adoption challenges into scalable product capabilities. - Help define what great onboarding, discovery, and activation look like for an AI software engineering teammate. You might thrive in this role if you: - Have strong full-stack software engineering fundamentals and experience building polished, production-grade user experiences. - Are comfortable working across frontend and backend systems, ideally with technologies such as React, TypeScript, Python, Go, or similar tools. - Have experience building onboarding, activation, growth, collaboration, discovery, or developer-product experiences. - Care deeply about user experience and can turn ambiguous customer problems into simple, intuitive product flows. - Enjoy working across product, design, engineering, analytics, and customer-facing teams. - Are comfortable using data, experimentation, and user feedback to guide product decisions

ABOUT THE TEAM The Statsig team within OpenAI builds the experimentation, feature rollout, dynamic configuration, and analytics systems that help OpenAI ship products with speed, safety, and evidence. Our work sits on the critical path for how product, engineering, research, and go-to-market teams learn from real-world usage and make high-confidence decisions. Statsig began as an independent company focused on helping builders move faster through trustworthy experimentation and feature management. After joining OpenAI, the team began its next chapter: bringing deep product expertise, customer intuition, and mature platform infrastructure into the product development system used by every OpenAI team. Today, teams across ChatGPT, Codex, model measurement, consumer monetization, business subscriptions, developer products, and shared infrastructure rely on Statsig to safely introduce new capabilities, measure impact, and roll changes forward or back with confidence. We are at a defining moment as adoption accelerates and the platform becomes a company-wide standard. ABOUT THE ROLE We are looking for an Engineering Manager, Statsig Product to lead the product engineering organization responsible for Statsig’s post-acquisition journey at OpenAI. You will define how experimentation, rollout, configuration, and analytics become a simple, reliable, and trusted part of how every OpenAI product team ships. You will set strategy across multiple product and platform workstreams, build the organization and leadership structure needed for the next phase, and establish the operating model for a platform that serves teams across the company. The right leader can operate across product strategy, technical architecture, organizational design, developer experience, reliability, and executive alignment. You will help preserve what made Statsig strong while integrating it deeply into how OpenAI launches, measures, learns, and makes product decisions. IN THIS ROLE, YOU WILL: - Build, lead, and scale a high-performing product engineering organization, including managers, senior technical leaders, and product-platform engineers. - Define the multi-year product engineering strategy for experimentation, feature flags, dynamic configuration, rollout safety, and analytics. - Establish clear ownership, operating mechanisms, planning processes, and execution standards across Statsig product workstreams. - Partner with leaders across ChatGPT, Codex, model measurement, ads, subscriptions, developer products, research, data, and infrastructure. - Translate recurring launch, measurement, and experimentation needs into durable platform capabilities that serve the broader company. - Guide technical direction across frontend, backend, SDK, data, analytics, and infrastructure surfaces. - Balance rapid adoption with reliability, performance, correctness, usability, and safety. - Serve as a senior escalation point for complex product-platform tradeoffs, integration decisions, and cross-company prioritization. - Build a strong leadership bench and create an organization that can scale as Statsig becomes core infrastructure for OpenAI product development. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have substantial engineering leadership experience, including leading managers or multiple engineering teams. - Have built or scaled product, experimentation, analytics, developer tools, growth platform, or internal platform organizations. - Bring strong product sense and can turn ambiguous customer workflows into durable platform strategy. - Can set direction across multiple workstreams while giving teams clear ownership and autonomy. - Have a track record of building strong leadership teams, hiring senior talent, and developing managers. - Can operate credibly with senior product, engineering, research, data, and infrastructure leaders. - Understand how to balance product quality, developer experience, reliability, performance, and adoption. - Are comfortable leading through h

ABOUT THE TEAM OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe that achieving our goal requires effective engagement with public policy stakeholders and the broader community impacted by AI. Accordingly, our Global Affairs team builds authentic, collaborative relationships with public officials and the broader AI policymaking community to inform and support our shared work in these domains. We ensure that insights from policymakers inform our work and - in collaboration with our colleagues and external stakeholders - support the development of regulation, industry standards, and safe and beneficial development of AI tools. ABOUT THE ROLE As the EU Policy & Partnerships Manager, you will develop strategies, shape OpenAI’s approach to priority EU policy issues, and drive campaigns as part of our European team. You will also develop and manage relationships with key stakeholders across the Brussels policy ecosystem, including policymakers, regulators, civil society groups, industry associations, researchers and experts, seeking to advance policies and partnerships that align with OpenAI’s mission. OpenAI releases industry-leading research and tools. You will face new challenges as the impact of cutting-edge generative AI technologies continues to be explored and as the needs of the organization evolve. Day-to-day work may encompass anything from helping to shape strategic initiatives and developing policy positions to preparing our leaders for engagements with EU officials or representing OpenAI in private and public forums. We are looking for a self-directed and creative individual with deep EU policy expertise, experience managing relationships across the Brussels policy ecosystem, sound judgment, and a sophisticated understanding of AI and AI-related legislative and regulatory issues and processes. The ideal candidate will be able to move between strategic policy development and practical delivery, working across teams to advance OpenAI’s mission in Brussels. This strategic yet hands-on role will report to the EU Policy & Partnerships Lead and work closely with key internal and external partners. This role is based in our Brussels office and will involve occasional travel. We follow a hybrid work model with three days in the office per week and offer relocation assistance to new employees. YOU SHOULD THRIVE IN THIS ROLE IF YOU: - Have deep knowledge of the EU policy ecosystem, including the institutions, legislative and regulatory processes, key debates shaping AI and technology policy, and a solid understanding of the member state policy landscape. - Are a trusted relationship builder who can engage credibly with EU officials, regulators, civil society groups, industry associations, researchers and experts across the Brussels policy ecosystem. - Can translate complex AI concepts into practical policy relevance for EU policymakers and Brussels stakeholders. - Are comfortable operating independently while collaborating closely across teams in a fast-moving environment. - Are passionate about the promise of technology and the future of artificial intelligence but thoughtful about its potential risks. WE'RE LOOKING FOR A BLEND OF: - Experience working at the intersection of technology, policy, and politics and translating complex socio-technical issues to diverse audiences. - Deep expertise in one or more priority EU policy issues relevant to OpenAI. - An established network and credibility with EU policymakers, regulators, civil society groups, industry associations, researchers, experts, and other key stakeholders across the Brussels policy ecosystem. - Demonstrated ability to analyze and engage on complex regulatory and legislative proposals, including reviewing draft text, developing positions, and supporting negotiations. - Experience driving external policy initiatives, such as thought leadership, white papers, and participation in industry coalitions, that adv

About the Team The Transportation team, part of OpenAI's Real Estate & Workplace (REW) organization, supports programs that help employees move efficiently, safely, and reliably across offices and regions. The team partners closely with internal stakeholders to improve the employee transportation experience and ensure transportation considerations are incorporated into broader workplace planning. About the Role As a Business Operations Partner, Transportation Program, you will help strengthen how the Transportation team works across the company. You will focus on cross-functional coordination, stakeholder support, communication, and operational follow-through. We're looking for people who enjoy solving problems, building relationships, bringing order to ambiguity, and helping teams operate effectively. You will serve as a trusted partner to internal teams, help surface and organize feedback, connect stakeholders to the right resources, and improve visibility across transportation priorities. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Build strong working relationships across REW, including Events, Design & Construction, Food, Security, Facilities, and Workplace Operations. - Partner with teams across the company to understand transportation-related needs, coordinate next steps, and ensure transportation considerations are reflected in broader workplace planning. - Represent the Transportation team in meetings, planning discussions, and cross-functional initiatives as needed. - Gather input, questions, and feedback from employees and internal partners, summarize nuanced issues clearly, and route requests to the appropriate owner, resource, or process. - Track open items and help ensure timely follow-up across stakeholders and team priorities. - Support internal team planning through trackers, documentation, notes, timelines, and action items. - Help organize recurring business rhythms, project milestones, operational priorities, and readiness activities tied to office openings, moves, or workplace changes. - Draft clear internal communications, updates, FAQs, and guidance materials that help partners understand available transportation programs, processes, and tools. - Improve internal processes that help the team stay organized, responsive, and able to support a smooth employee transportation experience as the company grows. You might thrive in this role if you: - Have 4+ years of experience in business operations, workplace operations, program coordination, employee experience, or similar roles. - Bring strong written and verbal communication skills, with the ability to summarize complex or nuanced topics clearly. - Are highly organized, detail-oriented, and able to manage multiple priorities while following through reliably. - Build trust across teams and are comfortable partnering with internal stakeholders in sensitive or nuanced situations. - Navigate ambiguity with sound judgment, curiosity, and a solutions-oriented mindset. - Have experience working in workplace, hospitality, real estate, operations, internal service environments, or cross-functional programs. - Are comfortable using project management tools, spreadsheets, and workflow systems to create clarity and momentum. - Are able to travel at minimum 1-2 times per quarter and support transportation needs across APAC, LATAM, and EMEA. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spec

About the Team The Workload Networking team is responsible for the collective communication stack used in our largest training jobs. Using a combination of C++ and CUDA we work on novel collective communication techniques that enable efficient training of our flagship models on our largest custom built supercomputers. The models we train are key ingredients to the AI research progress at OpenAI and the field as a whole, and we continually incorporate learnings from our entire research org into our training platform. About the Role As a Software Engineer, Networking you will design and implement custom networking collectives that are tightly integrated into our training stack. We’re looking for people who have a background in low level performance critical software. Experience with collective communication is a bonus. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Collaborate closely with ML researchers to design and implement efficient collective operations in C++ and CUDA. - Ensure that our largest training jobs take full advantage of the different network transports used in our supercomputers. - Work on simulations to inform our future supercomputer network designs. You might thrive in this role if you: - Have written distributed algorithms using RDMA in the past. - Are comfortable writing low level performance sensitive CPU and/or GPU code. - Are familiar with network simulation techniques. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWR

About the Team ChatGPT is evolving from answering questions to becoming a deeply personalized assistant that helps people discover, create, and make decisions across everyday life. We're building new multimodal product experiences that combine language, images, personalization, and interactive interfaces to help millions of users accomplish tasks in entirely new ways. This team sits at the intersection of AI research, product engineering, design, and consumer experiences. We move quickly, ship frequently, and work on products that define how people interact with AI every day. About the Role We're looking for exceptional full stack product engineers who love building polished consumer experiences from the ground up. You'll work across frontend, backend, AI-powered workflows, and rich interactive interfaces to create new product experiences that blend conversation, visual understanding, personalization, and commerce. You'll collaborate closely with designers, researchers, product managers, and model teams to rapidly prototype, launch, and iterate on experiences used by millions of people. This is an opportunity to help invent entirely new interaction paradigms—not just build traditional web applications. In This Role, You Will - Design and build end-to-end product experiences across web services, APIs, and modern frontend applications. - Partner closely with product, design, and research to rapidly prototype and launch new AI-native experiences. - Build intuitive, performant interfaces that make advanced AI capabilities feel simple and delightful. - Develop scalable backend systems that power personalized, real-time product experiences. - Work with multimodal capabilities including text, images, and interactive UI components. - Iterate quickly using user feedback, experimentation, and product metrics. - Help define engineering standards, architecture, and technical direction for a fast-growing product area. You Might Thrive If You - Have significant experience building consumer-facing products end to end. - Are comfortable moving across frontend, backend, infrastructure, and product architecture. - Care deeply about craft, user experience, and product quality. - Enjoy ambiguity and are energized by taking ideas from zero to one. - Think like both an engineer and a product builder. - Have strong systems thinking while maintaining exceptional attention to detail. - Communicate well across engineering, design, product, and research teams. Preferred Qualifications - Strong experience with modern frontend technologies (React, TypeScript, Next.js, or similar). - Experience building scalable backend services using Python, Go, Node.js, Rust, or comparable technologies. - Familiarity with distributed systems, APIs, and cloud infrastructure. - Experience building highly interactive consumer products. - Background working with AI, machine learning products, search, recommendations, personalization, or multimodal systems is a plus. - A track record of shipping products quickly while maintaining engineering quality. What Success Looks Like Successful engineers on this team combine strong technical execution with excellent product judgment. They move fluidly between prototyping and production systems, collaborate effectively across disciplines, and consistently deliver experiences that feel intuitive, elegant, and magical to users. They are excited by fast iteration, comfortable making decisions with imperfect information, and motivated by building products that redefine how people use AI every day. Why OpenAI At OpenAI, you'll work alongside some of the world's best researchers, engineers, designers, and product thinkers to build AI that benefits everyone. We value curiosity, ownership, humility, and a bias toward shipping impactful products. If you're excited about inventing new consumer experiences powered by frontier AI—and want to help shape the future of how millions of people interact with technology—we'd love to hear from you. About O

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role OpenAI is seeking a Security Engineer to join our Infrastructure Security (InfraSec) team. InfraSec protects the foundations of OpenAI’s research and production environments, spanning GPU supercomputing clusters, multi-cloud infrastructure, datacenters, networking, storage, and the critical services that power our frontier AI models. Our charter includes securing everything from bare-metal hardware and firmware, to Kubernetes clusters and service meshes, to data storage and access pathways for highly sensitive model weights and user data. In this role, you will: - Design and build security controls across diverse layers (e.g., physical hardware, firmware/BMC, OS, Kubernetes, networks, and CI/CD) to defend against sophisticated adversaries and insider threats. - Collaborate with engineering and security teams to drive deployment of security enhancements and control changes across broad-scale infrastructure. - Tackle high-impact projects such as checkpoint encryption, network isolation, secret management, and machine identity, while continuously raising the security bar for emerging AI workloads. - Take a generalist approach to building security controls, balancing a mix of security expertise and broad technical skillsets to adapt to evolving challenges. You will thrive in this role if you have: - Deep understanding of security principles, best practices, and common vulnerabilities. - A proactive mindset, with the ability to identify and address security gaps or inefficiencies through automation and tooling. - A track record of delivering scalable solutions and driving impactful changes across infrastructure in real-world projects. - Expertise in the security of cloud platforms (e.g., Amazon AWS, Microsoft Azure), especially securing multi-cloud networks and infrastructure, and designing cloud agnostic systems. - Experience securing on-prem deployments and datacenters from construction to multi-tenant use. - Familiarity with container security, orchestration security, and authentication/authorization. - Strong analytical and problem-solving skills, with an ability to think critically and objectively assess security risks. - Excellent communication skills, with the ability to convey complex security concepts to technical and non-technical stakeholders. - Excitement about collaborating with cross-functional teams to build secure, reliable systems that scale globally. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualif

About the Team The Connectivity Software Engineering team is responsible for enabling seamless, secure, and high-performance wireless connectivity across OpenAI’s products. We design and optimize Bluetooth, BLE, Wi-Fi, and emerging wireless technologies to ensure robust device pairing, network performance, and interoperability. Our work spans kernel drivers, system services, and user-level tools, with a focus on real-world performance, scalability, and reliability. About the Role OpenAI is seeking a Connectivity Software Engineer to design, implement, and optimize wireless connectivity features across our product ecosystem. You’ll work at the intersection of systems software, wireless standards, and hardware integration—building robust pairing and provisioning flows, debugging low-level protocols, and driving performance under real-world RF constraints. You will also support certification, field interoperability, and fleet-scale connectivity infrastructure. This role is based in San Francisco, CA. We use a hybrid work model of 4 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Design, implement, and debug Bluetooth/BLE and Wi-Fi features across kernel drivers, BlueZ/wpa_supplicant/hostapd, and systemd/D-Bus services - Deliver robust pairing, bonding, and provisioning flows (GATT/GAP, LE Audio/LC3, WPA3/802.1X, captive portals, NAN) - Optimize link performance: throughput, latency, jitter, roaming, coexistence (BT↔Wi-Fi), and power modes (TWT, WoWLAN) - Build reliable network management using NetworkManager/nmcli, nl80211/cfg80211/mac80211, DNS/DHCP/mDNS, P2P/SoftAP - Instrument and analyze with packet captures and tooling (btmon/hcidump, Wireshark, iperf, eBPF/perf, spectrum sniffers) - Drive interoperability and certification readiness (Bluetooth SIG, Wi-Fi Alliance) and resolve field issues with root-cause fixes - Contribute to OTA-safe configuration, telemetry, and diagnostics for fleet-scale operation You might thrive in this role if you: - Have deep experience shipping wireless features on Linux-based products - Are highly proficient in C/C++ with scripting experience (Python or shell) and systems debugging (gdb, strace, logs, packet traces) - Possess deep knowledge of Bluetooth Classic/BLE (HCI, L2CAP, GATT/GAP, profiles) and Wi-Fi (802.11 a/b/g/n/ac/ax, WPA2/3, nl80211, NAN) - Bring hands-on experience with BlueZ, wpa_supplicant/hostapd, NetworkManager, and driver bring-up on ARM64 or x86 platforms - Have a proven track record of improving real-world performance and reliability under RF constraints Preferred qualifications: - Experience with LE Audio (LC3), BLE Mesh, advanced roaming (802.11k/v/r), QoS/WMM, multicast/IGMP - Coexistence tuning across radios (BT/Wi-Fi/UWB/mmWave) and antenna/RF fundamentals with test equipment workflows - Familiarity with UWB (IEEE 802.15.4z, FiRa) ranging/integration; mmWave/Wi-Gig (802.11ad/ay) - Experience with security and provisioning at scale (EAP-TLS, device identity, secure boot, disk/network hardening) - Background in building factory test, interoperability, and certification test plans; upstream/open-source contributions About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Threat Intelligence team protects OpenAI’s technology, people, research, and infrastructure by proactively identifying and disrupting adversaries who seek to compromise our systems or misuse our models. We investigate sophisticated threats, build tooling to scale and augment analysis, and deliver intelligence that shapes security strategy and equips leadership with timely, risk-aware insights. We combine technical depth, investigative rigor, and strong cross-functional partnerships to uncover threats and drive impact across OpenAI’s security and research organizations. About the Role As a Technical Threat Investigator at OpenAI, you will help protect the company from sophisticated adversaries targeting OpenAI and the broader ecosystem, as well as those attempting to misuse our models in support of cyber operations. This is a deeply investigative role. You will independently conduct complex, end-to-end investigations into capable threat actors to understand their behavior, infrastructure, emerging techniques, and how AI is integrated into their workflows. You’ll use these insights to proactively identify malicious activity and drive detection, disruption, enforcement, and safety improvements across the company. You’ll translate your investigative findings into durable solutions that scale impact. You’ll build and own lightweight tooling, automate where it matters, and create AI-assisted workflows to make investigations faster, more repeatable, and more effective over time. In this role, you will: - Conduct deep, end-to-end investigations into sophisticated threat actors interacting with OpenAI’s models, products, and broader ecosystem. - Think like an adversary — model attacker behavior, anticipate misuse patterns, and proactively hunt for, identify, and disrupt malicious activity. - Leverage internal telemetry, OSINT, vendor data, and in-house safety systems to produce high-confidence findings on adversarial use of our models in cyber operations, platform abuse, and threats targeting OpenAI. - Translate investigative findings into concrete improvements across detection, enforcement, intel, and safety pipelines. - Build tooling, scripts, automations, and agentic workflows that scale investigative throughput and reduce manual effort. - Prototype solutions in ambiguous and emerging problem spaces, including new product surfaces, novel attacker behaviors, and areas where existing coverage may be limited. - Partner closely with teams across Security, Safety Systems, Product Policy, and Integrity to operationalize findings and drive meaningful outcomes. - Produce clear, high-signal written outputs and recommendations that inform decision-making across technical and executive stakeholders. You might thrive in this role if you have: - Experience in threat intelligence, incident response, offensive security, or a closely related field. - Solid experience investigating sophisticated threat actors, including model misuse, platform abuse, or other adversarial activity in complex environments. - A strong understanding of adversary behavior, infrastructure, and tradecraft, and the ability to apply that understanding to proactive investigations. - Demonstrated ability to independently drive deep technical investigations from ambiguous signals through to clear, actionable findings. - Experience using AI to extend or accelerate investigative workflows. - Strong scripting ability and comfort building lightweight automation, investigative tooling, or workflows that improve scale and repeatability. - Strong ability to leverage telemetry from diverse systems and vendors to drive investigations, including directly querying, extracting, and stitching together data where needed. - Strong written and verbal communication skills, especially the ability to translate technical investigations into high-signal output

About the Team With Codex we’re building an AI software engineer. One that you can pair with, delegate to, or even ask to take on future tasks proactively. Our team is a fast-moving group within OpenAI, bringing together research, engineering, design, and product. We iteratively build the Codex agent harness and product to get the most out of the model, and we iteratively train the model to be great at complex software engineering tasks. The Codex team is responsible for building state-of-the-art AI systems that can write code, reason about software, and act as intelligent agents for developers and non-developers alike. We operate across research, engineering, product, and infrastructure; owning the full lifecycle of experimentation, deployment, and iteration on novel coding capabilities. Codex Enterprise builds the ecosystem building blocks, discovery surfaces, and enterprise capabilities that help Codex spread across developers, teams, and organizations worldwide. It is a cross-cutting team that works across the stack to build both delightful product experiences and fundamental platform capabilities. Its customers range from individual developers and small teams to large enterprises, and our mission is critical to achieving the vision of Codex as a proactive teammate. About the Role As we grow, we’re focused on turning Codex from a powerful individual tool into a production-grade teammate for entire organizations. You will work across internal OpenAI teams and external customers, from fast-moving startups to large enterprises, to make it possible to deploy, operate, and trust Codex in increasingly demanding real-world environments. As Codex’s consumer adoption accelerates, enterprise demand is growing just as quickly, and there is also increasing opportunity to expand Codex through ecosystem capabilities that unlock new workflows, integrations, and discovery. This team helps turn messy, real-world team requirements into robust, repeatable, and scalable product and platform capabilities. You will work directly with a small set of deeply engaged design-partner customers using their real deployments to surface opportunities, and what’s required for Codex to succeed inside modern engineering organizations. Those insights will drive what you build across product, infrastructure, deployment patterns, and ecosystem capabilities for all teams using Codex. This role owns systems end-to-end: from architecture and implementation to production operations with a strong bias for both quality and velocity. In this role, you will: - Shape the evolution of Codex by identifying how teams actually use (and break) AI-powered software engineering, and driving changes across product, infrastructure, ecosystem surfaces, and model behavior to make Codex a truly reliable teammate for organizations. - Build the core ecosystem, team, and enterprise primitives that make Codex usable at scale, including plugins, skills, hooks, discovery surfaces, RBAC, admin and audit surfaces, usage, rate limits and pricing controls, managed configuration and constraints, and analytics that give teams and operators deep visibility into how Codex is being used. - Design and own secure, observable, full-stack systems that power Codex across web, IDEs, CLI, and CI/CD, integrating with enterprise identity and governance systems (SSO/SAML/OIDC, SCIM, policy enforcement) and building data-access patterns that are performant, compliant, and trustworthy. - Lead real-world deployments and launches by working directly with customers and the Go To Market team (GTM) to roll Codex out across teams, using live usage and operational signals to rapidly iterate and turn messy, real-world feedback into scalable product, platform, and ecosystem improvements. You might thrive in this role if you: - Have strong software engineering fundamentals and experience turning ideas into productionized systems, thinking holistically about speed, performance, and user experience. - Are proficient in

About the Team The Corporate Security (CorpSec) team at OpenAI is dedicated to ensuring the safety and security of our people and facilities. We provide intelligence-driven security programs that enable OpenAI's teams to focus on advancing artificial intelligence responsibly and securely. About the Role As an Executive Protection Operator, you will play a crucial role in safeguarding the well-being of OpenAI's executives and key employees. Your responsibilities will encompass providing security support during travel, events, and, when necessary, day-to-day operations. You will need to have proficiency in firearms handling and the legal authority to carry a firearm in the United States. You are a seasoned, collaborative security professional with a deep understanding of executive protection principles and a proven ability to navigate complex, dynamic security situations with discretion and tact. This position is based in our San Francisco HQ. We use a hybrid work model of 3 days in the office per week, though this role is expected to have a flexible schedule that aligns with the travel and operational needs of the executives you support. We offer relocation assistance to new employees. In this role, you will: - Plan, coordinate, and execute secure transportation and protective operations for executives and key employees. - Conduct advance work, threat assessments, and route planning to mitigate security risks in both domestic and international environments. - Coordinate with internal stakeholders, protective intelligence, law enforcement, and vetted vendors to maintain an agile, credible protective posture. - Provide immediate response and crisis management during emergencies while preserving discretion and composure. - Support residential and travel security assessments and contribute to SOP development and continuous improvement. - Support the broader CorpSec mission—including internal and external event security and special projects—with a "no job too small" attitude. - Maintain current LEOSA / HR218 authority and the legal ability to carry a concealed firearm throughout the United States in support of executive protection operations. - Maintain a valid U.S. passport and readiness to travel internationally on short notice, including assignments in foreign and potentially hostile environments. You might thrive in this role if you: - Have operational executive protection experience supporting C-suite executives, senior government officials, or other high-profile principals. - Have completed a recognized Executive Protection training program or served five or more years in a dignitary protection assignment with a federal, state, or local law enforcement agency. - Bring tactical medical training and demonstrated decision-making ability under pressure. - Understand foreign intelligence targeting tactics and tradecraft and have experience with mitigation strategies and counter-surveillance operations. - Demonstrate strong communication skills, discretion, and professionalism when working with senior leaders and external partners. - Are a team player who embraces a “no job too small” mindset and is willing to support a wide range of security operations. - Are willing to obtain California-specific licensing, including BSIS and related certifications, through company-supported training pathways. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex

About the Team: The Database Systems team specializes in high-performance distributed databases. Our team built Rockset, the real-time search, analytics, and vector database that powers all vector search and retrieval augmented generation (RAG) at OpenAI. In addition to retrieval, as an online database, Rockset powers core functionality across all of OpenAI's product lines and many critical internal use cases. About the Role: We are looking for engineers passionate about distributed systems, close-to-the-metal performance optimization (our core engine is written in C++), and building scalable database infrastructure from the ground up. As an engineer on the Database Systems team, you'll contribute to the core database engine, driving improvements across ingestion, query execution, indexing, and storage. You'll partner with teams across OpenAI to unlock new product capabilities and help scale online database reliability and throughput as usage grows by orders of magnitude. In this role you will: - Design, build, and operate high-performance distributed systems - Identify and resolve performance bottlenecks to scale infrastructure to the next order of magnitude - Define long-term technical direction and guide system evolution - Collaborate with product, engineering, and research teams to deliver scalable and reliable infrastructure - Dig deep into complex production issues across the stack - Contribute to incident response, postmortems, and best practices for system reliability You might thrive in this role if you: - Have significant experience building, scaling, and optimizing distributed systems at scale - Are curious about database internals, storage engines, or low-latency query systems - Enjoy debugging challenging performance issues in complex, high-throughput systems - Have experience operating production clusters at scale (e.g., Kubernetes or other orchestration systems) - Think rigorously about scalability, correctness, and reliability - Thrive in fast-paced environments with high autonomy and impact Qualifications: - 4+ years of relevant industry experience, with 2+ years leading large scale, complex projects or teams as an engineer or tech lead - Experience with distributed systems at scale, with a strong focus on performance, reliability, and scalability - Strong communication skills and ability to collaborate across highly technical and cross-functional teams - Proficiency in a systems programming language such as C++ (our core engine is written in C++) is strongly preferred - Fluency in cloud environments (AWS, GCP, Azure) and IaC tools (Terraform or similar) - Experience with Linux systems, CI/CD pipelines, and modern observability stacks (Prometheus, Grafana, etc.) - Domain knowledge in areas such as databases, data systems, storage engines, indexing, and query processing is a plus but not required About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment

About the Team OpenAI’s Hardware organization develops system and infrastructure solutions tailored to the demands of advanced AI workloads. We work across the full stack—from silicon to system integration—partnering closely with internal teams and external vendors to define and deliver next-generation AI infrastructure. Our team focuses on defining scalable, high-performance system architectures and reference designs that balance performance, cost, and operational efficiency across rapidly evolving technologies. About the Role We are seeking a 3P Architect to define and drive rack- and cluster-level reference designs in collaboration with external partners. This role is responsible for translating workload requirements and system-level goals into concrete architectures, aligning partners on critical design attributes, and ensuring vendor roadmaps meet our infrastructure needs. You will work closely with performance modeling and internal architecture teams to evaluate tradeoffs, while owning the end-to-end definition and execution of third-party system designs. This includes identifying gaps in current technologies, driving vendor development, and shaping future infrastructure capabilities. This role requires strong system intuition, cross-functional leadership, and the ability to operate effectively across internal teams and external ecosystems. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance. Key Responsibilities - Define rack- and cluster-level reference architectures for AI infrastructure deployments. - Translate workload requirements into clear system design specifications and partner deliverables. - Collaborate with performance modeling teams to evaluate architectural tradeoffs and system behaviors. - Align internal stakeholders and external partners on critical system attributes (performance, cost, power, reliability, scalability). - Identify gaps in current technology offerings and drive vendors (ODM/JDM, silicon, networking) to close those gaps. - Influence and shape vendor roadmaps to meet future infrastructure needs. - Track emerging technologies and evaluate their applicability to AI systems. - Define and lead proof-of-concept (PoC) efforts to validate new architectures and technologies. - Act as a key interface between OpenAI and external partners, ensuring execution against design intent. Qualifications - Have strong experience in system architecture for large-scale infrastructure or data center environments. - Understand AI workload characteristics and how they map to system-level design decisions. - Are comfortable working with performance modeling outputs to inform architectural direction. - Have experience working with or managing hardware vendors (ODM/JDM, silicon, networking). - Can drive alignment across multiple stakeholders with competing constraints. - Have a track record of turning ambiguous requirements into clear, executable system designs. - Are proactive in identifying gaps and driving solutions across organizational boundaries. Preferred Skills - Experience defining rack- or cluster-level systems for hyperscale or AI workloads. - Familiarity with accelerators (GPUs/ASICs), interconnects, and data center networking architectures. - Experience influencing vendor roadmaps and reference designs. - Background in infrastructure deployment, hardware engineering, or systems integration. - Experience leading PoCs or early-stage hardware validation efforts. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and ex

Overview: The Data Acquisition team within the Foundations organization at OpenAI is responsible for all aspects of data collection to support our model training operations. Our team manages web crawling and GPTBot services and works closely with Data Processing, Architecture, and Scaling teams. We are looking for a skilled Software Engineer to join our Data Acquisition team. Responsibilities: - Own and lead engineering projects in the area of data acquisition including web crawling, data ingestion, and search. - Collaborate with other sub-teams, such as Data Processing, Architecture, and Scaling, to ensure smooth data flow and system operability. - Work closely with the legal team to handle any compliance or data privacy-related matters. - Develop and deploy highly scalable distributed systems capable of handling petabytes of data. - Architect and implement algorithms for data indexing and search capabilities. - Build and maintain backend services for data storage, including work with key-value databases and synchronization. - Deploy solutions in a Kubernetes Infrastructure-as-Code environment and perform routine system checks. - Conduct and analyze experiments on data to provide insights into system performance. Qualifications: - BS/MS/PhD in Computer Science or a related field. - 4+ years of industry experience in software development. - Experience with large web crawlers a plus - Strong expertise in large stateful distributed systems and data processing. - Proficiency in Kubernetes, and Infrastructure-as-Code concepts. - Willingness and enthusiasm for trying new approaches and technologies. - Ability to handle multiple tasks and adapt to changing priorities. - Strong communication skills, both written and verbal. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated

About the team The Applied team at OpenAI safely brings cutting-edge technology to the world. We have released widely used products such as ChatGPT, Sora, and the OpenAI API, powering models including GPT-5 and a growing set of multimodal capabilities across text, image, audio, and video. Our team also manages large-scale inference and platform infrastructure that supports these experiences at global scale. With much more on the horizon, our impact continues to grow. Our customers build fast-growing businesses using our APIs, unlocking product capabilities that were previously unimaginable. ChatGPT and Sora exemplify the breadth of what’s now possible across text, image, audio, and video experiences. As these capabilities expand, we prioritize the responsible use of our technology, emphasizing safe and thoughtful deployment over unchecked growth. Within Applied Engineering, the Financial Engineering team builds the frontend platforms and workflows that power how OpenAI’s products are priced, purchased, and managed at scale. We work closely with Go-To-Market and Finance partners to translate complex commercial requirements into clear, reusable billing experiences. We’re looking for a frontend engineer to help define and evolve these billing platforms, shaping the primitives, interfaces, and patterns that product teams rely on as our offerings and customer needs continue to grow in complexity. In this role, you will: - Create scalable, reusable UI components and patterns that support a wide range of billing use cases across products. - Partner closely with backend engineers to deliver end-to-end billing capabilities spanning subscriptions, usage-based pricing, and enterprise offerings. - Build tools and surfaces that allow teams like Finance, Sales, Support, and GTM to manage and reason about billing data efficiently. - Create AI powered features for billing workflows and platform tooling to automate repetitive tasks, surface insights, and improve decision-making. - Help define frontend architecture, standards, and patterns for a shared billing platform used by teams across OpenAI. - Collaborate with Product, Data, Finance, Go-To-Market, and Engineering partners to translate ambiguous requirements into clear, high-quality interfaces. You might thrive in this role if you: - Software engineering experience, with added experience in payments, billing, or monetization seen as a bonus. - Strong frontend engineering experience building and maintaining production-grade web applications, with an emphasis on usability, scalability, and maintainability. - Enjoy engaging with various partners, particularly those outside of engineering. - Have a keen and innate desire to learn and acquire new skills, coupled with a strong ability to impart that knowledge clearly and succinctly to others. - Bring significant experience in developing (and redeveloping) production systems to launch new product capabilities and to handle scaling challenges. - Are deeply invested in creating an exceptional user experience, taking pride in crafting products that address customer needs. - Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protecte

About the Team The Safety Systems team is in need of a Technical Program Manager to streamline our full safety stack and integration of various safety research and mitigations into ChatGPT and our API. This role is critical for driving safe deployment of our new models, synthesizing inputs from multiple stakeholders — ranging across research, product, engineering, legal, and policy — and ensuring all the risks are effectively and properly monitored, mitigated, or resolved. About the Role As a Safety Engineering TPM, you will be responsible for critical tasks ranging from tracking safety engineering progress and risk tables to overseeing critical data infrastructure programs, acting as the connective tissue to enhance the deployment of OpenAI’s safety system. Additionally, you will create and execute a compute roadmap for your team to ensure that our top priorities are resourced while taking advantage of new opportunities to make key safety infrastructure investments. Your primary focus will be to build a foundational layer to support the safety of all of our models and products. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Manage key risk areas and corresponding stakeholders. - Work directly with safety engineers, engineering managers, and product managers to build common safety infrastructure. - Manage data and compute infrastructure, including data residency and capacity planning. - Design and run key internal programs, including incident management and processes for regularly updating our safety mitigations. - Prioritize and manage a portfolio of infrastructure requests from other internal teams. You might thrive in this role if you: - Have an undergraduate or graduate degree in computer science or computer engineering, or a demonstrated track record of engineering expertise. - Have an extensive track record of successfully delivering high-profile, complex technical projects against tight deadlines. - Are technically adept, and have effectively partnered with engineering and fundamental research teams of the highest caliber. - Have expertise in designing and implementing simple, scalable processes that solve complex problems. - Are relentlessly resourceful and thrive in ambiguous, fast-paced environments. - Have strong knowledge of content integrity and moderation, including industry best practices and regulatory guidelines. - Have exceptional written and verbal communication skills. - Care about AGI safety. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that cr

About the Team OpenAI’s Applications Engineering organization builds and operates the products (such as ChatGPT & Codex) that bring our cutting-edge research to millions of users and developers worldwide. The Applied Foundations team owns the core product and platform layers that make those experiences possible — from identity & access, to safety to payments & commerce across all of our apps. Our teams span product engineering, infrastructure, and safety, working together to deliver technology that is reliable, secure, and trusted at global scale. About the Role We’re hiring Backend Software Engineers to design and implement safe services and infrastructure that power our core products. What You’ll Do - Architect, build, and improve scalable backend systems and APIs. - Drive performance, reliability, and safety across distributed services. - Implement data storage, retrieval, compute, and integration solutions. - Participate in long-term architectural planning and technical design reviews. - Collaborate with cross-functional teams to design solutions that protect against and mitigate adversarial attacks without compromising user experience. You Might Thrive Here If You: - Have strong experience with distributed systems, APIs, and backend languages (e.g., Go, Python, Rust, C++). - Have experience setting up and maintaining production backend services and data pipelines. - Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed. - Enjoy building resilient services that handle large scale and complexity. - Are self-directed and enjoy figuring out the best way to solve a particular problem - Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No respo

ABOUT THE TEAM OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. A majority of our users interact with our products in languages other than English, and our products must work seamlessly across languages, regions, and cultures. The Internationalization team builds the infrastructure that enables OpenAI products to ship globally by default. We develop the systems that power localization, international product launches, and high-quality global user experiences across all OpenAI products. ABOUT THE ROLE As a Senior Software Engineer on the Internationalization team, you will build the systems that power localization and international product launches at OpenAI. You’ll work on the platform that manages product content, translation workflows, and localization infrastructure across our products. This role sits at the intersection of AI systems, developer platforms, and product infrastructure. IN THIS ROLE, YOU WILL - Build and scale OpenAI’s localization, content, and experimentation platform used across OpenAI product teams, including open-source components: - Develop AI-powered translation pipelines combined with human-in-the-loop review workflows. - Design systems that reliably deliver localized product content across web and mobile apps. - Build tools that enable linguists and localization teams to review and improve translations. - Develop developer tooling that simplifies localization and internationalization workflows. - Build and maintain internationalization libraries used across OpenAI products: - Design systems that correctly handle numbers, currencies, dates, and pluralization across locales. - Improve support for multilingual interfaces and right-to-left languages. - Partner with product teams to improve the international readiness of new features. YOU MIGHT THRIVE IN THIS ROLE IF YOU - Have strong software engineering experience building backend or full-stack systems. - Have familiarity with Java, React, MySQL, and cloud infrastructure patterns such as object storage, containerized services, and Kubernetes. - Enjoy building platforms and internal tools used by many teams. - Have experience with or appreciation for open-source software and developer tooling. - Are interested in combining AI systems with human workflows. - Care about product quality and global user experience. - Appreciate cultural and linguistic differences across regions; multilingual proficiency is a plus. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resultin

About the Team The Core Services team is responsible for building and managing foundational services. It acts as the bridge between core infrastructure (e.g. compute, storage, networking) and product engineering teams, and enables product teams to move fast, build reliably, and scale efficiently. About the Role As a software engineer in the core services team, you will design and operate critical backend platforms such as caching systems, workflow orchestration, metadata stores, and file services. You’ll focus on building highly reliable, scalable, and performant systems that serve as the backbone of our products. We’re looking for people who are passionate about building infrastructure that empowers product teams, love working on distributed systems challenges, and enjoy creating well-designed APIs and abstractions that accelerate development. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Design, build, and maintain shared infrastructure services such as caching layers, workflow orchestration (Temporal), metadata stores, and file storage services. - Collaborate with product teams to provide scalable, reliable primitives that abstract the complexities of distributed systems. - Improve performance, resilience, and scalability of core services that power customer-facing applications. You might thrive in this role if you: - Have experience with distributed systems, caching infrastructure (e.g., Redis, Memcached), metadata storage (e.g., FoundationDB), or workflow orchestration (e.g., Temporal, Cadence). - Have experience running containerized services in cloud environments and integrating them into automated build/test/release (CI/CD) workflows. - Understand trade-offs in consistency models, replication strategies, and performance optimization in multi-region systems. - Excel at communication and collaboration with cross-functional teams, and are obsessed with delivering customer success. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and prote

ABOUT THE TEAM OpenAI didn’t begin as a traditional company. It began as an idea: that artificial intelligence could be developed in a way that benefits everyone. As a creative team, our role is to help make sure the work behind that idea is understood, as it leaves the lab and meets the world. This company works at the frontier of intelligence. Like any frontier, it’s unfinished, constantly shifting, and still being explored. Our job is to stay close to that uncertainty and help shape how this story gets told, in a way that feels grounded and human. We do this through campaigns, launches, films, brand systems, and work that doesn’t fit neatly into any of those categories yet. This team is for people who want to help shape something from the beginning. ABOUT THE ROLE OpenAI’s Marketing team is looking for a Business Affairs Manager to support our Hardware team. In this role, you’ll own Business Affairs work streams across highly confidential, high-visibility marketing projects from early concepting through launch and post-launch usage. You’ll be embedded in the project work, partnering closely with Hardware, Product Marketing, Creative, Production, Legal, Procurement, Security, Comms, and external partners to ensure rights, clearances, contracts, vendor requirements, documentation, and risk decisions are managed end-to-end. This role requires someone who can move fluidly between strategic judgment and hands-on execution: shaping scalable BA processes while also driving the day-to-day details that keep complex projects moving. You’ll partner with existing BA counterparts to inform and roll out ways of working and serve as the connective tissue between Legal, Procurement, Partnerships, Security, external BA partners, and working teams, helping ensure our marketing work is compliant, well-documented, and built to scale. IN THIS ROLE, YOU WILL: - Own Business Affairs workstreams for Hardware marketing projects, including confidential product launches, campaigns, films, events, experiential activations, partner moments, and emerging creative. - Manage BA requirements from project kickoff through delivery, including rights, clearances, contracts, usage terms, vendor requirements, documentation, approvals, and post-launch asset usage. - Drive the day-to-day execution of project workflows, including clearance trackers, talent and public figure deals, music, locations, third-party IP, product footage, likeness rights, paid media usage, global extensions, and renewal needs. - Inform and manage BA guardrails for confidential and tented Hardware work, including NDA requirements, need-to-know access, vendor onboarding, secure asset handling, prototype or product restrictions, documentation standards, and access removal. - Own project-level risk management, identifying issues early, recommending paths forward and escalating when needed. - Develop BA operating models for Hardware’s confidential and restricted-access projects, including how external agencies, production partners, talent, creators, photographers, and vendors are briefed, contracted, permissioned, and offboarded. - Manage BA requirements for product-in-market and pre-launch product work, including restrictions around prototype visibility, product claims, unreleased features, photography, footage, demos, and asset distribution. - Partner with Security and Legal to ensure Hardware marketing projects have the right confidentiality controls in place before external work begins. - Partner with current BA counterparts to build clear BA guidelines that help the wider Marketing team move at the speed of the business while protecting the brand, managing risk, and ensuring compliance. - Inform Marketing Operations counterparts on all BA-related tools/systems, rights-management systems, DAMs, content-management workflows, and asset lifecycle governance. - Have an AI-first mindset finding reliable ways to optimize the function of BA with our tools and scaling them. YOU MIGHT THRIVE IN THIS

ABOUT THE TEAM The Release Engineer team is responsible for building and maintaining the systems that power software delivery—from CI/CD pipelines and artifact management to release automation and fleet telemetry. We ensure software across bootloaders, firmware, operating systems, and cloud services is built reproducibly, validated rigorously, and released safely at scale. ABOUT THE ROLE As a Release Engineer, you’ll design, build, and operate release infrastructure that enables reliable, secure, and traceable software delivery across complex multi-component systems. You’ll partner closely with embedded, cloud, and QA teams to ensure that every build—from development to OTA deployment—is fast, verifiable, and production-ready. We’re looking for engineers who take pride in automation, build reproducibility, and system reliability—and who enjoy building the connective tissue that allows hardware and software to ship together seamlessly. This role is based in San Francisco, CA. We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees. IN THIS ROLE, YOU WILL: - Design and operate CI/CD pipelines for multi-component builds (bootloader, firmware, OS images, backend, companion apps) using hermetic toolchains. - Define versioning and branching strategies; automate promotions, changelogs, and artifact retention. - Integrate unit, integration, and hardware-in-the-loop (HIL) test results; quarantine flaky tests, auto-bisect failures, and block unsafe promotions. - Build A/B OTA update flows with verity and health checks; run staged rollouts and canaries; implement safe rollback and roll-forward strategies. - Implement code signing for binaries and firmware, generate SBOMs, run vulnerability scanning, and attach build attestations and provenance. - Manage dashboards and alerts for build health, promotion latency, failure rates, and fleet update telemetry. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have experience building and operating build and release systems for consumer devices, robotics, mobile, or embedded products. - Are proficient in scripting and automation languages such as Python or Bash. - Have strong Linux user-space fundamentals. - Have experience with GitHub Actions or Buildkite, artifact registries, and reproducible toolchains. - Have experience managing vendor BSPs and toolchains. - Have delivered secure OTA or image updates with staged rollouts at scale. - Are familiar with key management and supply-chain hardening. - Have a track record of metrics-driven improvement and continuous optimization. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably bel

About the Team The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem. We are dedicated to identifying emerging abuse trends, analyzing risks, and working with our internal and external partners to implement effective mitigation strategies to protect against misuse. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity. The Strategic Intelligence & Analysis (SIA) team provides safety intelligence for OpenAI’s products by monitoring, analyzing, and forecasting real-world abuse, geopolitical risks, and strategic threats. Our work informs safety mitigations, product decisions, and partnerships, ensuring OpenAI’s tools are deployed securely and responsibly across critical sectors. About the Role As a Technical Intelligence Analyst, you will produce scaled, rapid risk analysis to generate structured and decision-ready intelligence. You will design and support analytical workflows to help the team identify, validate, and prioritize risks. You will surface novel harms and abuse patterns using an ensemble of technical tools and discovery methods. In addition, you will scale recurring intelligence workflows to help analysts prioritize information quickly and efficiently. You will help turn recurring intelligence workflows into reusable frameworks, dashboards, AI-assisted workflows, and rapid analysis tools. You will design and implement lightweight technical solutions to help analysts synthesize raw signals into actionable insights at greater scale. This role is based in San Francisco, CA (hybrid, 3 days/week). Relocation support is available. In this role, you will: - Design and maintain analytical tools, evaluation methodologies, and quality metrics for intelligence workflows. - Provide structure and technical rigor to analyst-built prototypes, redesigning workflows to be generalizable across use cases. - Transform recurring needs into reusable templates, notebooks, graders, and lightweight tools. - Surface novel harms and abuse patterns across a range of ecosystems and behaviors. - Build rapid analysis workflows around emerging risks. - Deliver, monitor, and maintain risk tools and dashboards. - Use SQL, Python, and AI-powered tools to improve analysis speed, coverage, and consistency. You might thrive in this role if you: - Have 3+ years of experience in technical intelligence, integrity, trust and safety, operational risk, or a related quantitative risk domain. - Are strong in SQL and Python, including querying, organizing, and transforming complex datasets. - Have delivered zero-to-one analyses and turned them into reusable playbooks, workflows, or lightweight tools. - Have experience with anomaly detection tools, such as PyOD, and discovery processes for surfacing novel or low-prevalence patterns. - Learn new systems, processes, datasets, and team dynamics quickly. - Thrive in ambiguous and fast-moving environments. - Communicate findings clearly, including evidence, uncertainty, limitations, and trade-offs. - Nice to have: technical knowledge of AI systems, experience building graders, classifiers, or analytical scorecards. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional inf

About the Team OpenAI’s Strategic Sourcing team helps the company scale responsibly, efficiently, and at speed. We partner with technical and business leaders across Engineering, Security, IT, Finance, Legal, and Privacy to shape supplier strategy, negotiate critical agreements, and build resilient supplier ecosystems that support OpenAI’s mission. Within Strategic Sourcing, this team manages strategic supplier relationships across engineering platforms, infrastructure software, security technology, enterprise systems, IT, and hardware. Our work connects technical roadmaps, commercial strategy, supplier leverage, financial discipline, operational resilience, and security. About the Role OpenAI is seeking a Strategic Sourcing, Enterprise & Engineering Technology Leader to lead complex technology sourcing work across a portfolio critical to how our teams build, secure, operate, and scale. This role will report to the Senior Director / Head of Strategic Sourcing. This is a senior sourcing leadership role for a recognized expert who can shape category direction, lead multiple complex workstreams, influence senior stakeholders, and solve high-stakes commercial problems with structured thinking and deep expertise. You will manage experienced sourcing professionals, guide strategic supplier negotiations, and help build scalable sourcing practices that strengthen OpenAI’s growth. You will partner closely with the CTO, CISO, IT, Finance, Legal, Privacy, and business organizations to translate technical needs, security requirements, supplier constraints, adoption patterns, and long-term operating priorities into clear sourcing strategies and commercial structures. You will also build and improve the operating system for the category, including category cards, negotiation playbooks, reporting mechanisms, supplier governance, coordinator workflows, and executive communication rhythms. You will be at the forefront of enabling AI within sourcing workflows, helping the team use AI to improve intake, market analysis, negotiation preparation, reporting, documentation, and decision quality. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Lead sourcing strategy and execution across enterprise and engineering technology categories, including infrastructure software, engineering platforms, security technology, enterprise systems, IT, and hardware. - Independently define, prioritize, and lead multiple complex sourcing workstreams, shaping supplier strategy and commercial decisions without regular oversight. - Own strategic supplier negotiations, including major renewals, enterprise license agreements, infrastructure software commitments, security technology agreements, engineering platform agreements, and hardware-related sourcing decisions. - Manage and develop experienced category leads, creating clarity, improving commercial judgment, and empowering the team to deliver strategic goals without heavy managerial intervention. - Build scalable category tools and frameworks, including category cards, negotiation playbooks, supplier segmentation, renewal calendars, reporting dashboards, and escalation paths. - Partner with senior leaders across the CTO, CISO, and IT organizations to translate technical roadmaps, security requirements, platform dependencies, adoption plans, performance needs, and supplier constraints into sourcing strategies and commercial structures. - Advise senior leaders on major supplier decisions by presenting clear deal narratives, financial impact, risk, tradeoffs, supplier context, and recommendations. - Create cost and commercial structures aligned to OpenAI’s business model, including usage-based pricing, flexible consumption models, pooled commitments, ramp structures, scale protections, and performance-based economics. - Set direction for coordinators and category partners supporting quick-turn n

About the team The Fleet team at OpenAI supports the computing environment that powers our cutting-edge research and product development. We oversee large-scale systems that span data centers, GPUs, networking, and more, ensuring high availability, performance, and efficiency. Our work enables OpenAI’s models to operate seamlessly at scale, supporting both internal research and external products like ChatGPT. We prioritize safety, reliability, and responsible AI deployment over unchecked growth. About the role As a software engineer on the Fleet Hardware team, you will be responsible for the reliability and uptime of all of OpenAI’s compute fleet. Minimizing hardware failure is key to research training progress and stable services, as even a single hardware hiccup can cause significant disruptions. With increasingly large supercomputers, the stakes continue to rise. Being at the forefront of technology means that we are often the pioneers in troubleshooting these state-of-the-art systems at scale. This is a unique opportunity to work with cutting-edge technologies and devise innovative solutions to maintain the health and efficiency of our supercomputing infrastructure. Our team empowers strong engineers with a high degree of autonomy and ownership, as well as ability to effect change. This role will require a keen focus on system-level comprehensive investigations and the development of automated solutions. We want people who go deep on problems, investigate as thoroughly as possible, and build automation for detection and remediation at scale. In this role, you will: - Build and maintain automation systems for provisioning and managing server fleets. - Develop tools to monitor server health, performance, and lifecycle events. - Collaborate with clusters, networking, and infrastructure teams. - Partner with external operators to ensure a high level of quality. - Identify and fix performance bottlenecks and inefficiencies. - Continuously improve automation to reduce manual work. You might thrive in this role if you have: - Experience managing large-scale server environments. - A balance of strengths in building and operationalizing. - Proficiency in Python, Go, or similar languages. - Strong Linux, networking, and server hardware knowledge. - Comfort digging into noisy data with SQL, PromQL, and Pandas or any other tool. Prior hardware expertise is not required for this role. Bonus Skills: - Experience with low level details of hardware components, protocols, and associated Linux tooling (e.g., PCIe, Infiniband, networking, power management, kernel perf tuning) - Knowledge of hardware management protocols (e.g., IPMI, Redfish). - High-performance computing (HPC) or distributed systems experience. - Prior experience developing, managing, or designing hardware. - Familiarity with monitoring tools (e.g., Prometheus, Grafana). About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for

About the Team OpenAI’s mission is to ensure that artificial intelligence benefits all of humanity. Achieving this goal requires not only building cutting-edge technology, but ensuring it is deployed responsibly in real-world contexts. OpenAI for Government partners with U.S. and allied government institutions to support the responsible adoption of AI across defense, intelligence, and civilian agencies. We work at the intersection of technology, policy, and operations to ensure that our tools are deployed in ways that are effective, aligned with democratic values, and grounded in real-world consequences. This role will support leaders on two teams at the center of OpenAI’s work with governments worldwide: OpenAI for Government and Global Affairs. As part of the OpenAI for Government team you will work across federal, state, and local governments, helping to accelerate adoption through hands-on support, tailored training, and early insights—so civil servants can spend less time on red tape and more on meaningful work. If you're passionate about responsibly deploying frontier AI to uplift public institutions and transform how the government works, we want you on our team. As part of the Global Affairs National Security team, you will help shape OpenAI’s engagement with senior national security leaders and policymakers around the world, navigating one of the most consequential and fast-moving policy landscapes of our time. You will work at the intersection of frontier AI, geopolitics, and defense – helping to build trusted relationships, inform strategic decisions, and position OpenAI as a credible partner on issues that matter to global security. If you are energized by high-impact work, complex challenges, and the opportunity to help shape how transformative technology is used in service of democratic institutions, we’d love to hear from you. Our Executive Business Partners serve as trusted advisors and collaborators to OpenAI's executives and leaders, focused on strong communication and operational excellence across teams. With a focus on elevating the impact and efficiency of leadership, we anticipate needs, streamline processes, and provide comprehensive support to ensure our executives can focus on high-impact initiatives. We play a pivotal role in driving success and achieving key milestones by cultivating strong relationships and leveraging our deep understanding of business objectives. With a commitment to excellence and a proactive approach, we are dedicated to empowering our executives and contributing to the overall growth and success of the company. Our leadership team reflects OpenAI’s culture and core values and is a mission-driven, kind, and thoughtful group. We take pride in creating a work environment that fosters collaboration, open communication, and authenticity, making OpenAI an excellent place to work for highly accomplished professionals. About the Role The Executive Business Partner will be a proactive and adaptable partner to executives, managing complex scheduling, coordinating projects, and optimizing workflows. This role requires independence, task-level ownership, and a deep understanding of OpenAI’s mission to foster AGI that benefits humanity. The ideal candidate can handle structured tasks with minimal oversight, while actively learning and applying best practices to support evolving business needs. This role is based in Washington, DC and requires in-person attendance at our DC office, The Workshop, at least four days per week. We offer relocation assistance for new employees. In this role, you will: - Build strong connections within Global Affairs and OpenAI for Government, and forge connective tissue between the two teams to help them operate together more seamlessly. This includes an understanding of team dynamics, priorities, and stakeholders, facilitating seamless coordination on high-stakes projects. - Expertly manage the calendars, scheduling, and logistics of leaders in both organizations

About the Team The OpenAI Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role As the Robotics 3D Printing Lab Technician, you will own the day-to-day operation of our additive manufacturing lab and help enable rapid hardware iteration across the robotics organization. You’ll manage and maintain a fleet of 3D printers, develop workflows for engineers to submit and track builds, and ensure high-quality prototype parts are delivered quickly and reliably. You will partner closely with mechanical, electrical, and prototype engineering teams to support fast-paced robotics development. Beyond additive manufacturing, you will also contribute as a hands-on prototype technician supporting builds, rework, subsystem integration, and general lab operations across robotic systems. This role is based in San Francisco, CA, and requires in-person presence 5 days a week. In this role, you will: - Lead operation, maintenance, and calibration of a fleet of 3D printers supporting robotics prototyping efforts - Develop and maintain workflows for print submission, prioritization, tracking, and delivery across engineering teams - Prepare, process, and optimize print jobs across a variety of additive manufacturing technologies and materials - Perform post-processing operations including support removal, finishing, bonding, machining, dyeing, and assembly preparation - Inspect completed parts for dimensional accuracy, cosmetic quality, and print integrity before delivery to engineers - Partner with engineering teams to provide guidance on material selection, print orientation, tolerancing, and manufacturability - Manage inventory of printing materials, consumables, spare parts, and maintenance supplies to ensure high printer uptime - Support rapid prototyping workflows by assisting with mechanical builds, subsystem integration, and general prototype technician work - Troubleshoot machine, process, and print quality issues across additive manufacturing workflows - Help maintain a clean, organized, safe, and highly functional prototyping environment You might thrive in this role if you: - Have deep hands-on experience with additive manufacturing systems and enjoy building reliable workflows around physical hardware - Are highly organized and comfortable managing many concurrent prototype requests in fast-paced environments - Understand tradeoffs between different printing technologies, materials, tolerances, and post-processing methods - Enjoy hands-on technical work and are comfortable supporting a broad range of prototype and build activities - Maintain a high bar for craftsmanship, lab discipline, and part quality Preferred qualifications: - 4+ years of experience operating additive manufacturing systems in prototyping, robotics, product development, or manufacturing environments - Experience with a variety of 3D printing technologies such as FDM, SLA, SLS, MJF, or PolyJet - Familiarity with additive manufacturing materials, post-processing methods, and prototype finishing techniques - Experience supporting hardware engineering teams in fast-paced development environments - Familiarity with general electromechanical assembly, prototype builds, or robotics hardware systems About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value th

About the Team We’re building the core Kotlin-based platform—from architecture to CI—that powers ChatGPT, Sora, and other fast-evolving Android apps. Android is a key platform for ChatGPT, and our focus is helping teams iterate quickly without sacrificing performance or reliability. About the Role We’re hiring Staff+ engineers with backgrounds across the Android platform, including specialists in performance, build/CI, or AI developer productivity. Whether you focus on UI frameworks or automated testing, your impact will be seen in reduced friction, lower complexity, fewer regressions, and improved performance. If you're rethinking how to scale Android development in the era of advanced AI tools, this role is for you. We are hiring in San Francisco, New York, and Seattle, and may consider remote candidates. In this role, you may: - Build and evolve core Kotlin frameworks used across multiple apps and platforms (e.g., caching, state management, observability, navigation, component systems). - Enhance app performance (startup, responsiveness, memory, battery life) through profiling, monitoring, regression prevention, or architectural improvements. - Increase reliability by reducing crashes, improving error handling, and driving release process improvements. - Collaborate closely with product engineering teams to identify pain points and emerging infrastructure needs. - Develop internal tooling and automation (CI, testing, guardrails, Codex agent skills, and systems) to accelerate engineering velocity. - Turn real-world constraints into simple abstractions: intuitive APIs, enforceable contracts, safe defaults. You might thrive in this role if you: - Bring strong expertise in Android development (Kotlin, modern architecture patterns, Jetpack). - Gravitate toward platform challenges: frameworks, architecture, performance, or creating tools that empower other engineers. - Take ownership by identifying key risks/opportunities, driving projects to completion, and adapting quickly. - Care about measurement: instrument thoroughly, define metrics, run experiments, and iterate based on data. - Communicate and collaborate effectively—aligning on interfaces, navigating tradeoffs, and driving cross-team execution. - Think in systems, fight entropy, and enjoy ambiguous challenges. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in y

ABOUT THE TEAM The Workload team is responsible for designing and running OpenAI’s LLM training and inference infrastructure that powers frontier models at massive scale. Our systems unify how researchers train and serve models, abstracting away the complexity of performance, parallelism, and execution across vast GPU/accelerator fleets. By providing this foundation, the Workload team ensures that researchers can focus on advancing model capabilities while we handle the scale, efficiency, and reliability required to bring those models to life. ABOUT THE ROLE We are looking for an engineer to design and implement the dataset infrastructure that powers OpenAI’s next-generation training stack. You will be responsible for building standardized dataset interfaces, scaling pipelines across thousands of GPUs, and proactively testing performance bottlenecks. In this role, you will collaborate closely with the multimodal researchers, and other infra groups to ensure datasets are unified, efficient, and easy to consume. IN THIS ROLE, YOU WILL: - Design and maintain standardized dataset APIs, including for multimodal (MM) data that cannot fit in memory. - Build proactive testing and scale validation pipelines for dataset loading at GPU scale. - Collaborate with teammates to integrate datasets seamlessly into training and inference pipelines, ensuring smooth adoption and a great user experience. - Document and maintain dataset interfaces so they are discoverable, consistent, and easy for other teams to adopt. - Establish safeguards and validation systems to ensure datasets remain reproducible and unchanged once standardized. - Debug and resolve performance bottlenecks in distributed dataset loading (e.g., straggler systems slowing global training). - Provide visualization and inspection tools to surface errors, bugs, or bottlenecks in datasets. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have strong engineering fundamentals with experience in distributed systems, data pipelines, or infrastructure. - Have experience building APIs, modular code, and scalable abstractions, while recognizing that abstractions ultimately serve the users and UX is an important part of the abstractions design. - Are comfortable debugging bottlenecks across large fleets of machines. - Take pride in building infrastructure that “just works,” and find joy in being the guardian of reliability and scale. - Are collaborative, humble, and excited to own a foundational (if not glamorous) part of the ML stack. Bonus points if you: - Have background knowledge in data math, probability, or distributed data theory. - Have worked with GPU-scale distributed systems or dataset scaling for real-time data About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Ch

About the team The Fleet team at OpenAI supports the computing environment that powers our cutting-edge research and product development. We oversee large-scale systems that span data centers, GPUs, networking, and more, ensuring high availability, performance, and efficiency. Our work enables OpenAI’s models to operate seamlessly at scale, supporting both internal research and external products like ChatGPT. We prioritize safety, reliability, and responsible AI deployment over unchecked growth. About the role As a software engineer on the Fleet High Performance Computing (HPC) team, you will be responsible for the reliability and uptime of all of OpenAI’s compute fleet. Minimizing hardware failure is key to research training progress and stable services, as even a single hardware hiccup can cause significant disruptions. With increasingly large supercomputers, the stakes continue to rise. Being at the forefront of technology means that we are often the pioneers in troubleshooting these state-of-the-art systems at scale. This is a unique opportunity to work with cutting-edge technologies and devise innovative solutions to maintain the health and efficiency of our supercomputing infrastructure. Our team empowers strong engineers with a high degree of autonomy and ownership, as well as ability to effect change. This role will require a keen focus on system-level comprehensive investigations and the development of automated solutions. We want people who go deep on problems, investigate as thoroughly as possible, and build automation for detection and remediation at scale. In this role, you will: - Build and maintain automation systems for provisioning and managing server fleets. - Develop tools to monitor server health, performance, and lifecycle events. - Collaborate with clusters, networking, and infrastructure teams. - Partner with external operators to ensure a high level of quality. - Identify and fix performance bottlenecks and inefficiencies. - Continuously improve automation to reduce manual work. You might thrive in this role if you have: - Experience managing large-scale server environments. - A balance of strengths in building and operationalizing. - Proficiency in Python, Go, or similar languages. - Strong Linux, networking, and server hardware knowledge. - Comfort digging into noisy data with SQL, PromQL, and Pandas or any other tool. Prior hardware expertise is not required for this role. Bonus Skills: - Experience with low level details of hardware components, protocols, and associated Linux tooling (e.g., PCIe, Infiniband, networking, power management, kernel perf tuning) - Knowledge of hardware management protocols (e.g., IPMI, Redfish). - High-performance computing (HPC) or distributed systems experience. - Prior experience developing, managing, or designing hardware. - Familiarity with monitoring tools (e.g., Prometheus, Grafana). About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction record

About the Team The OpenAI Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role As a Software Engineer, Distributed Data Systems, you will design and scale the infrastructure that powers large-scale multimodal training and evaluation at OpenAI. You’ll manage distributed data pipelines, collaborate closely with researchers to translate requirements into robust systems, and harden pipelines that serve as the backbone for OpenAI’s rapid iteration cycles. We’re looking for engineers who are detail-oriented, have strong experience with distributed systems, and excel at building reliable infrastructure in high-stakes environments. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security. - Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient - Partner with researchers to deeply understand requirements and translate them into production-ready systems. - Harden, optimize, and maintain critical data infrastructure systems that power multimodal training and evaluation. You might thrive in this role if you: - Have strong experience with distributed systems and large-scale infrastructure with a strong interest in data. - Are detail-oriented and bring rigor to building and maintaining reliable systems. - Demonstrate excellent software engineering fundamentals and organizational skills. - Are comfortable with ambiguity and rapid change About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information.

About the Team The Safety Systems team is dedicated to ensuring the safety, robustness, and reliability of AI models and their deployment in the real world. Learn more about OpenAI’s approach to safety. https://openai.com/safety/ Building on the many years of our practical alignment work and applied safety efforts, Safety Systems addresses emerging safety issues and develops new fundamental solutions to enable the safe deployment of our most advanced models and future AGI, to make AI that is beneficial and trustworthy. About the Role At OpenAI, we're dedicated to advancing artificial intelligence, and we know that creating a secure and reliable platform is vital to our mission. That's why we're seeking a software engineer to help us build out our trust and safety capabilities. In this role, you'll work with our entire engineering team to design and implement systems that detect and prevent abuse, promote user safety, and reduce risk across our platform. You'll be at the forefront of our efforts to ensure that the immense potential of AI is harnessed in a responsible and sustainable manner. Your Responsibilities: - Architect, build, and maintain anti-abuse and content moderation infrastructure designed to protect us and end users from unwanted behavior. - Work closely with our other engineers and researchers to utilize both industry standard and novel AI techniques to measure, monitor and improve AI models’ alignment to human values. . - Diagnose and remediate active incidents on the platform and build new tooling and infrastructure that address the root causes of system failure. You might thrive in this role if: - You have built and run production services in a high growth, rapidly scaling environment. - You can debug live issues and restore systems quickly. - You have worked on content safety, fraud, or abuse, or are motivated and excited to work on present-day (“now-term”) AI safety. - You have experience with Python or with modern languages such as C++, Rust, or Go, and are able to quickly ramp up on Python. - You understand the trade-offs of capabilities and risks and navigate them to deploy novel products and features safely. - You can critically assess risks of a new product or feature and devise innovative solutions to mitigate these risks without harming the product experience. - You’re pragmatic. You know when to build a quick, good-enough fix, and when to invest in a robust, lasting solution. - You possess strong project management skills. You are self-directed and can remove roadblocks to drive projects to completion with minimal guidance. - You’ve deployed classifiers or machine learning models, or are excited to learn about modern ML infra. Our tech stack - Our infrastructure is built on Terraform, Kubernetes, Azure, Python, Postgres, and Kafka. - While we value experience with these technologies, we are primarily looking for engineers with strong technical skills who understand the fundamental problems these tools solve, and can quickly pick up new tools and frameworks. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Backgr

About the Team OpenAI’s Hardware organization develops system and infrastructure solutions optimized for advanced AI workloads. We collaborate across research, software, and external hardware partners to design and deploy next-generation AI systems at scale. Our team works closely with silicon vendors and system partners to evaluate emerging technologies, validate performance characteristics, and ensure that hardware capabilities translate effectively to real-world AI workloads. About the Role We are seeking a 3P Hardware Architecture Expert with deep expertise in GPU and accelerator architectures to engage directly with silicon vendors and guide hardware decisions for AI infrastructure. In this role, you will evaluate architectural tradeoffs across compute, memory, and interconnect systems, translating vendor specifications into real-world workload impact. You will play a critical role in early silicon evaluation, benchmarking, and performance validation, helping ensure that next-generation hardware meets the needs of our workloads. This role is highly hands-on and requires both deep technical understanding and the ability to engage at a high level with partners such as NVIDIA and AMD on architectural direction and design tradeoffs. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance. Key Responsibilities - Engage deeply with silicon vendors (e.g NVIDIA & AMD) on GPU and accelerator architecture tradeoffs. - Analyze and interpret performance, power, and efficiency characteristics of next-generation hardware. - Translate vendor specifications into expected real-world performance for AI workloads. - Evaluate architectural aspects including: - compute throughput and utilization - memory systems (HBM, cache hierarchies, bandwidth constraints) - data types and precision tradeoffs (FP16, BF16, FP8, etc.) - interconnect and scaling behavior. - Run benchmarks and profiling to validate hardware performance against workload requirements. - Lead early bring-up and evaluation of engineering sample (ES) silicon. - Partner with performance modeling and system architecture teams to align measured vs. modeled behavior. - Provide actionable feedback to vendors to influence future silicon design and roadmap decisions. Qualifications - Have deep expertise in GPU or accelerator architecture, including performance and power tradeoffs. - Understand AI workload behavior and how it interacts with hardware design choices. - Are comfortable engaging directly with silicon vendors at a technical architecture level. - Have hands-on experience with benchmarking, profiling, and performance analysis. - Can translate low-level hardware details into system-level and workload-level impact. - Are equally comfortable in theory (architecture) and practice (measurement/validation). - Thrive in environments where you bridge internal teams and external partners. Preferred Skills - Experience working with or at companies like (e.g NVIDIA & AMD) or similar silicon providers. - Familiarity with AI accelerator stacks, including GPUs, custom ASICs, or emerging architectures. - Experience with early silicon bring-up or hardware validation workflows. - Strong understanding of memory systems (HBM, DDR, cache hierarchies) and data movement bottlenecks. - Experience with performance tooling, microbenchmarks, and workload characterization. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and

About the Team With Codex we’re building an AI software engineer. One that you can pair with, delegate to, or even ask to take on future tasks proactively. Our team is a fast-moving group within OpenAI, bringing together research, engineering, design, and product. We iteratively build the Codex agent harness and product to get the most out of the model, and we iteratively train the model to be great at complex software engineering tasks. The Codex team is responsible for building state-of-the-art AI systems that can write code, reason about software, and act as intelligent agents for developers and non-developers alike. We operate across research, engineering, product, and infrastructure; owning the full lifecycle of experimentation, deployment, and iteration on novel coding capabilities. Codex Enterprise builds the ecosystem, governance, and enterprise capabilities that help Codex spread across developers, teams, and organizations worldwide. The Enterprise Controls team owns the systems that allow companies to safely deploy Codex across their organization while protecting their most sensitive code, data, and internal knowledge. About the Role As Codex adoption grows inside large organizations, customers are increasingly trusting Codex with their most valuable assets: proprietary codebases, internal documentation, customer data, and sensitive workflows. This role will help build the enterprise control plane that makes Codex secure, governable, and trustworthy at scale. You will design and operate backend systems that give enterprise administrators visibility and control over how Codex is used across their organization. You will work across identity, access, encryption, policy enforcement, auditability, and admin controls. This may include systems that let customers manage encryption keys, control which Codex capabilities are enabled, enforce organizational policies, and understand how data flows through Codex. This role owns systems end-to-end: from architecture and implementation to production operations, with a strong bias for security, reliability, quality, and velocity. In this role, you will: - Build backend systems that protect enterprise customer data, including encryption, key management, access controls, data isolation, retention controls, and secure data handling patterns. - Design and operate the Codex enterprise control plane, enabling administrators to configure, enforce, and audit how Codex is used across users, teams, projects, and environments. - Build policy and governance systems that allow enterprises to enable or disable specific Codex capabilities, define organizational constraints, and safely roll out new AI-powered workflows. - Develop reliable, observable, and scalable services across identity, authorization, configuration, audit logging, compliance, and enterprise administration. - Partner closely with product, security, infrastructure, GTM, and customer-facing teams to translate complex enterprise requirements into simple, durable product and platform capabilities. - Help define what “enterprise-grade” means for AI software engineering systems as Codex becomes a trusted teammate inside the world’s largest organizations. You might thrive in this role if you: - Have strong backend software engineering fundamentals and experience building production-grade distributed systems. - Are proficient in one or more backend languages such as Python, Go, Rust, Java, or C++. - Have experience with security, identity, authorization, encryption, key management, policy systems, or enterprise governance. - Understand enterprise foundations such as SSO/SAML/OIDC, SCIM, RBAC, audit logging, compliance controls, and data governance. - Enjoy building foundational platform capabilities that unlock many product surfaces and customer workflows. - Are comfortable working across ambiguous technical and product requirements, especially in fast-moving 0 → 1 environments. - Care deeply about reliability, security, observability, a

About the Team The OpenAI Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role As a Senior Software Engineer, ML Systems & Training Infrastructure, you will be a deeply hands-on engineering force multiplier for the robotics team. You will help keep the training framework and surrounding infrastructure healthy, review and improve code quickly, debug failures across ML systems and infrastructure, and unblock researchers and engineers when the path from idea to working training job gets rough. We’re looking for people who love writing, reading, reviewing, and fixing code; who can get productive quickly in unfamiliar systems; and who bring strong practical judgment without a lot of ego or process overhead. This role will be based in San Francisco, CA and be expected in office 5 days per week and offer relocation assistance to new employees. In this role, you will: - Review, improve, and clean up code across training frameworks and adjacent infrastructure. - Identify risky or low-quality changes before they land, and raise the code quality bar without slowing the team down. - Debug issues across ML training systems, GPUs, clusters, networking, and related infrastructure. - Help researchers and engineers unblock broken training jobs, flaky workflows, and brittle internal tooling. - Improve the reliability, maintainability, and usability of the robotics team’s training framework. - Move quickly on practical engineering problems that directly affect team velocity. You might thrive in this role if you: - Have strong software engineering fundamentals and excellent code review judgment. - Have experience with ML systems, training frameworks, GPUs, distributed systems, infrastructure, or similarly complex technical environments. - Read and debug unfamiliar codebases quickly, and enjoy getting to root cause. - Ship high-quality code with strong velocity and pragmatic judgment. - Are low-ego, responsive, and motivated by helping researchers and engineers move faster. - Prefer being a highly effective hands-on IC over driving broad process-heavy initiatives. - Have experience reviewing messy, fast-moving, or AI-generated codebases. Compensation Range: $295K - $380K USD About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direc

About the Team Training Runtime designs the core distributed machine-learning training runtime that powers everything from early research experiments to frontier-scale model runs. With a dual mandate to accelerate researchers and enable frontier scale, we’re building a unified, modular runtime that meets researchers where they are and moves with them up the scaling curve. Our work focuses on three pillars: high-performance, asynchronous, zero-copy tensor and optimizer-state-aware data movement; performant, high-uptime, fault-tolerant training frameworks (training loop, state management, resilient checkpointing, deterministic orchestration, and observability); and distributed process management for long-lived, job-specific and user-provided processes. We integrate proven large-scale capabilities into a composable, developer-facing runtime so teams can iterate quickly and run reliably at any scale, partnering closely with model-stack, research, and platform teams. Success for us is measured by raising both training throughput (how fast models train) and researcher throughput (how fast ideas become experiments and products). About the Role As a Training: ML Framework Engineer, you will work on improving the training throughput for our internal training framework, while enabling researchers to experiment with new ideas. This requires good engineering (for example designing, implementing, and optimizing state-of-the-art AI models), writing bug-free machine learning code (surprisingly difficult!), and acquiring deep knowledge of the performance of supercomputers. In all the projects this role pursues, the ultimate goal is to push the field forward. We’re looking for people who love optimizing performance, understanding distributed systems, and who cannot stand having bugs in their code. Since our training framework is used for large runs with massive numbers of GPUs, performance improvements here will have a large impact. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Apply the latest techniques in our internal training framework to achieve impressive hardware efficiency for our training runs - Profile and optimize our training framework - Work with researchers to enable them to develop the next generation of models You might thrive in this role if you: - Have run small scale ML experiments - Love figuring out how systems work and continuously come up with ideas for how to make them faster while minimizing complexity and maintenance burden - Have strong software engineering skills and are proficient in Python About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-ba

About The Team The Data Understanding team is responsible for creating the high quality datasets and their quantized representation for OpenAI. This includes synthesizing multimodal data, building VQ representations, and processing, filtering, deduplication, quality control, and tokenization so it can be used effectively in big model training runs. About The Role We’re looking to advance how OpenAI prepares, curates, synthesizes and understands multimodal data at scale. You’ll work on research and production problems like synthesizing multimodal content (images, audio, and video) and their supervisions, improving noisy data pipelines, building better quality filters, using models to automate data prep, and measuring whether changes in the dataset improve model performance. We Expect You To - Have a strong track record of new or improved ML ideas, through publications, projects, or applied research. - Own and drive a research agenda, from choosing the right multimodal data problems to carrying long-running work through to impact. - Be excited by OpenAI’s empirical, collaborative approach to research. Nice To Have - Experience with multimodal learning, audio, vision, video, synthetic data, or data-centric ML. - Thoughtfulness about AI’s impact, including privacy, provenance, and data quality. - Experience building high-performance deep learning or large-scale data processing systems. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pd

About the Team The Cooperative AI team is scaling OpenAI with OpenAI. We are building a model powered knowledge system that evolves and learns as our products, systems and customers evolve. We leverage our state of the art models, technologies, and products (some external, some still in the lab) to assist or completely automate robust operations supporting both internal and external customers. We support OpenAI customers and internal partners globally, powering systems from customer support to integrity to product insights. We are a self-contained multi-disciplinary team, who enjoy a lightning fast feedback loop with customers at scale, some of whom sit just a few pods away. We iterate fast, and engineer for reliable long-term impact. We're constantly looking for the similarities and patterns in different types of work, and focus on building simple primitives, to apply world class knowledge to many domains. The work of this team exemplifies use of OpenAI technologies. We build systems so everyone can see the leverage that is possible with well designed AI-based implementations. We do this by working through internal use cases focused on Customers (specifically knowledge systems, automation systems, and automated agent systems) to prove impact, then we scale. About the Role We’re looking for a Backend Software Engineer to help architect and scale the infrastructure that powers our knowledge systems. This is a deeply technical and highly cross-functional role where you’ll build robust systems and backend services that serve as the foundation for how knowledge is created, accessed, and applied across OpenAI. In this role, you will: - Design, build, and maintain backend services and APIs to support intelligent automation and knowledge systems - Integrate and structure data across internal platforms, transforming it into formats optimized for use by downstream systems and AI workflows. - Collaborate closely with product, research, and engineering teams to integrate OpenAI models into high-leverage workflows - Own the full development lifecycle of new backend systems and internal platform capabilities - Build with scale and maintainability in mind, while rapidly iterating on new ideas You might be a great fit if you have: - 4+ years of backend engineering experience at product-driven companies (excluding internships) - Proficiency in backend technologies. Our tech stack includes Python, FastAPI, and Postgres - Experience designing and scaling distributed systems, APIs, or data processing pipelines - A pragmatic mindset. You’re comfortable shipping iteratively while building toward a long-term vision - An interest in structured knowledge representation, internal search, agent infrastructure, or systems that evolve over time Curiosity about AI/ML and excitement to work alongside world-class research and product teams (hands-on experience is a bonus, not a must) About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction

About the company OpenAI’s mission is to build and ensure that safe artificial general intelligence (AGI) benefits all of humanity. This long-term undertaking brings together the world’s best scientists, engineers, and business professionals to accomplish this. About the role We are looking for a Sales Engineering leader to be responsible for overseeing all technical aspects of the OpenAI sales process ensuring developers and enterprises maximize benefit, value, and adoption from our highly-capable models and technology. We are looking for a technical leader who represents the voice of the customer, aligning our customer-facing technical teams around a unified and exceptional experience across the customer lifecycle. You will be crucial to the success of our GTM strategy and will have a significant influence in shaping the direction of our technology and those who adopt it. Your responsibilities will encompass overseeing all technical aspects of the sales process for our Digital Natives segment. This includes not only the pre-sales activities but also at times the post-sales technical support ensuring a cohesive and outstanding experience for our clients. Your teams of Solutions Engineers will rely on your leadership to guide them in delivering exceptional service and technical expertise. You will work closely with Sales, Customer Engagement, Security, and Product teams. In this role, you will: - Help craft and continuously refine the strategic vision for OpenAI's Solutions Engineering function, aligning it with broader company objectives and the evolving needs of our diverse clientele. - Lead and mentor a multifaceted team through the entire sales cycle, fostering an environment that promotes seamless customer engagement, maximum adoption, and scalability. - Collaborate with cross-functional teams including GTM, Product, Engineering, and Research, ensuring synergy and cohesion in our customer engagement strategies. - Act as the escalation technical contact for key clients in your sales segment, building trust and a direct line of communication with executive-level stakeholders. - Be a thought leader in the industry, advocating for the effective and innovative application of our AI technologies across various sectors. - Champion a customer-first approach within the organization, inspiring your team to always prioritize client satisfaction and success. You’ll thrive in this role if you: - Possess deep technical acumen, particularly in AI and related platform technologies, enabling you to engage effectively with technical and non-technical stakeholders alike. - Are experienced in developing and executing large-scale technical success strategies. - Excel in motivating and steering a high-performing team, fostering both individual and collective excellence. - Have experience leading teams spanning across multiple EMEA markets and geographies. - Can distill complex technical concepts into clear, comprehensible communication, adaptable to diverse audiences. - Embody a customer-centric philosophy, motivating your team to embrace this ethos. - Demonstrate outstanding presentation and communication skills, particularly when interacting with executive-level individuals. - Approach your work with humility, a collaborative spirit, and a continuous learning mindset. - Are adept at problem-solving, prioritizing effectively under pressure. - Are deeply committed to the ethical and safe advancement of AI technology. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an

About the Team Safety Systems works to ensure OpenAI’s most capable models can be developed and deployed responsibly. Our work spans evaluations, safeguards, red teaming, deployment decisions, and the systems that help OpenAI understand and reduce risk as models become more capable and widely used. Within Safety Systems, the Trustworthy AI team is growing its safety transparency function: a practice focused on helping external audiences understand OpenAI’s technical safety work with greater clarity, rigor, and continuity. We create and improve the public artifacts that explain how our systems are evaluated for safety, what safeguards we build, what decisions we make, and where uncertainty remains. This work includes system cards, the Deployment Safety Hub, safety-related blogs, public governance documents, and other outputs that communicate technical safety topics to external audiences. It also includes building new ways to make technical safety information easier to understand, navigate, and use—including AI-assisted workflows, data visualizations, and interactive tools that make complex technical work more legible over time. About the Role We are looking for a Safety Transparency Editor to own the editorial quality of key safety transparency artifacts and systems. This is a hands-on role for someone who can write crystal-clear, pitch-perfect explanations of the hardest and highest-stakes technical safety topics that OpenAI tackles, and who can lean into AI to build systems that help the broader organization do this work better. Your core responsibility is to shape and execute how our technical safety work is externally communicated: identifying the narrative thread, exercising judgment about which details matter, determining where additional context, explanation, or supporting evidence is needed, translating complexity without sacrificing precision, and helping external audiences understand both the safety measures we’ve taken and the uncertainties that remain. To do this work effectively, you will need to be comfortable educating yourself, using AI tools and existing internal evidence, about the nuances of technical safety work taking place across OpenAI. You will serve as the editorial driver behind system cards and related transparency materials, partnering closely with Safety Programs, researchers, evaluators, red-teamers, policy experts, legal partners, product marketing and communications teams, and other launch stakeholders. You will transform complex technical safety topics into public-facing artifacts that are rigorous, accessible, and faithful to the underlying substance. You’ll also be expected to use AI deeply in your own practice—not simply as a learning and drafting tool, but as a means of rethinking how this work gets done. You should instinctively look for opportunities to build workflows, automate repetitive tasks, improve consistency, and create systems that enable the organization to produce high-quality transparency artifacts at scale and speed. This role demands deep ownership and accountability. The ideal candidate is equally at home refining a tricky explanation of a nuanced technical point, and investing in building systems that make the next ten explanations easier to produce. This role is ideal for someone who combines the judgment of an exceptional editor with the mindset of a builder. You should be comfortable using your voice and judgment while approaching the work with humility, intellectual honesty, and a deep respect for technical nuance. In This Role, You Will Serve as the narrative DRI for system cards and related transparency artifacts from initiation through publication. Partner with the Safety Programs team, researchers, evaluators, red-teamers, policy experts, legal teams, communications partners, and launch teams to translate technical findings into public-facing materials. Write clear, precise explanations of highly technical safety topics for external audiences without sacrificing rig

About the Team Full Stack engineers within the Fleet Scheduling team are dedicated to building intuitive and scalable interfaces that empower researchers to efficiently manage AI workloads across some of the largest supercomputers in the world. Our focus is on developing robust, high-performance systems that provide real-time insights, resource tracking, and seamless interaction with complex infrastructure. We aim to optimize resource allocation, minimize operational overhead, and create user-friendly tools that enhance researcher productivity and system transparency. About the Role You will design, develop, and operate web-based systems that provide a powerful and intuitive interface to OpenAI’s supercomputing clusters. You will collaborate closely with researcher, product and infrastructure teams to deliver scalable solutions that enable seamless monitoring, job scheduling, and resource management. This is an opportunity to work at the cutting edge of AI infrastructure, designing tools that scale to exascale workloads while maintaining usability and performance. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Design and develop full-stack web applications to track, monitor, and manage large-scale AI workloads in real time. - Collaborate with researchers and infrastructure teams to translate complex operational needs into intuitive UIs and scalable backends. - Build data visualization tools (e.g., Gantt charts, dashboards) to provide insights into job scheduling and resource allocation. - Optimize backend services to handle massive data throughput while ensuring low-latency performance and high availability. - Implement frontend components that provide seamless interactions with scheduling, storage, and compute systems. - Ensure system security, reliability, and scalability across globally distributed supercomputing infrastructure. You might thrive in this role if you: - Significant experience in full-stack development, with expertise in modern frontend frameworks (React, Vue, or Angular) and backend technologies (Python, Go, or Node.js). - Experienced in building scalable, high-performance web applications for complex distributed systems. - Strong understanding of RESTful and GraphQL APIs, distributed databases, and cloud infrastructure (especially Azure). - Execution-focused with a keen eye for usability, performance, and scalability in enterprise-scale systems. - Comfortable working in fast-paced, highly collaborative environments with tight timelines and evolving priorities. Bonus points if you: - Have experience working with Kubernetes, Docker, and cloud-native application deployment. - Understand AI/ML workload scheduling and orchestration challenges. - Have experience with real-time data processing, visualization libraries, and observability tooling. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified appl

ABOUT THE TEAM: OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. ABOUT THE ROLE: We are seeking an experienced Optical Network Engineer to lead Laser related work within our optical interconnect efforts for large-scale compute systems. The role also requires broad, hands-on optical validation experience across IM/DD-based interconnects, working from lab characterization through production readiness and scaled deployment. IN THIS ROLE YOU WILL: - Drive laser-focused requirements and technical direction within the broader optical interconnect roadmap. - Lead evaluation and validation of optical components and subsystems, including laser-based elements, in lab and production-representative environments. - Support end-to-end optical testing for IM/DD interconnects (e.g., module/system bring-up, characterization, debug, and readiness for scale). - Work with external partners to align on development milestones, performance targets, and quality expectations. - Own technical issue triage and resolution across performance, reliability, and manufacturability topics. - Collaborate across internal teams to support integration, rollout, and operational success at scale. YOU MIGHT THRIVE IN THIS ROLE IF YOU HAVE: - Strong experience in laser-focused optical engineering (development, validation, manufacturing readiness, or field support). - Broad hands-on background with IM/DD optical technologies and optical test/debug workflows. - Experience working with external suppliers/manufacturing partners and production-oriented execution. - Demonstrated ability to debug complex technical issues using data-driven methods. - Clear written and verbal communication; ability to influence cross-functional stakeholders. - Advanced degree in a relevant engineering field preferred (or equivalent industry experience). To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional o

About the Role We are seeking a Tokens-as-a-Service (TaaS) Engineer to help build the systems that convert large-scale infrastructure capacity into measurable, reliable token throughput for OpenAI workloads. In this role, you will work across performance benchmarking, tokenomics, model porting, infrastructure integration, systems tooling, and operational monitoring. You will help connect partner and first-party compute environments into OpenAI’s infrastructure stack, ensuring GPU capacity can be onboarded, measured, monitored, and optimized against real workload outcomes. Key Responsibilities - Develop systems and tooling to measure, monitor, and improve token throughput across first-party and partner-owned compute environments. - Support performance benchmarking, tokenomics analysis, and model porting across heterogeneous infrastructure environments. - Build tooling to integrate external or partner infrastructure into OpenAI’s internal compute, observability, and workload management systems. - Develop and monitor operational metrics including billing, usage, SLAs, utilization, reliability, and throughput. - Identify bottlenecks across hardware, networking, software, and workload enablement that prevent capacity from becoming productive tokens. - Partner with compute, infrastructure, networking, finance, and operations teams to translate raw capacity into usable workload-serving capacity. - Build dashboards, automation, and reporting systems that provide clear visibility into TaaS capacity, performance, and business outcomes. Qualifications - Strong software engineering background with experience building systems, tooling, automation, or infrastructure platforms. - Experience working across compute infrastructure, distributed systems, performance engineering, or production operations. - Ability to reason about token throughput, utilization, benchmarking, infrastructure efficiency, and workload performance. - Comfortable integrating external systems or partner environments into internal infrastructure stacks. - Strong analytical and debugging skills across hardware, networking, software, and operational domains. Preferred Skills - Experience with GPU clusters, AI infrastructure, performance benchmarking, or workload optimization. - Familiarity with model porting, inference/training workloads, token economics, or compute efficiency analysis. - Experience building monitoring systems for billing, usage, SLAs, utilization, or infrastructure reliability. - Background in systems engineering, infrastructure software, observability, distributed systems, or platform engineering. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers:

About the Team OpenAI’s People team is committed to hiring, engaging, and supporting world-class talent to help safely build and deploy universally beneficial Artificial General Intelligence (AGI). The Recruiting Optimizations Manager is responsible for building and strengthening the systems, workflows, and operational infrastructure that make hiring at OpenAI fast, rigorous, and scalable. This role partners across recruiting, systems, and people teams to ensure recruiting foundations are efficient, reliable, auditable, and built to scale as OpenAI continues to grow rapidly and globally. This role leads Recruiting Operations optimization efforts across workflow design, operational automation, systems enablement, and scalable service operations. About the Role This role is focused on the systems and operational backbone of recruiting. The Recruiting Operations Manager will lead work across recruiting systems, workflow design, automation, process optimization, and data integrity to improve how hiring runs at scale. This role will translate business needs into durable operational solutions, drive improvements across the recruiting technology stack, and identify opportunities to reduce manual work through better tooling, automation, and process design. The right person will combine strong people management with systems thinking, operational rigor, and a practical approach to scaling high-quality recruiting infrastructure. This role is based in San Francisco, CA. We are not considering remote candidates at this time. In this role, you will: - Lead and develop a high-performing Recruiting Operations team, setting clear expectations, building strong judgment, and supporting career growth. - Own and improve the operational systems and workflows that underpin recruiting, with a focus on scalability, reliability, and efficiency. - Design, implement, and continuously optimize automations across recruiting workflows, approvals, data quality checks, reporting processes, and systems handoffs. - Identify manual, repetitive, or error-prone work and convert it into streamlined, governed, and scalable processes. - Partner with Recruiting, People Systems, and cross-functional stakeholders to prioritize and deliver tooling improvements, workflow redesigns, and operational enhancements. - Support the evolution of the recruiting technology stack by defining requirements, evaluating solutions, improving integrations, and driving adoption of new processes and tools. - Use data to monitor process health, identify bottlenecks, and drive continuous improvement across operational performance and system effectiveness. - Raise the bar on data accuracy, systems hygiene, documentation, and process discipline across recruiting operations. - Act as an escalation point for complex operational issues, using structured problem-solving and sound judgment to resolve root causes. - Contribute to an AI-enabled roadmap for recruiting operations, with a focus on practical automation, usability, governance, and measurable impact. You might thrive in this role if: - You care deeply about building reliable systems and operational foundations that scale. - You naturally look for ways to simplify, automate, and optimize workflows rather than maintain manual workarounds. - You are comfortable operating in ambiguity and can bring structure to evolving processes and systems. - You know how to lead a team through both day-to-day execution and longer-term systems improvement. - You bring strong judgment and know when to escalate risks, challenge unclear requirements, or tighten a process that is not holding up. - You balance speed with rigor and understand that operational quality is a trust function. - You can zoom out to design scalable workflows and zoom in to debug process failures, systems gaps, or data issues. - You are credible with stakeholders and able to build strong working relationships across recruiting, systems, analytics, finance, legal, and IT. What We’re Looking

About the Team The Codex Core Agent team builds the kernel of Codex. We own making the agent better, accelerating research, and making those improvements real in production for our users. That means working across the systems that make Codex actually function as an agent in the real world: the production performance envelope around tokens, latency, reliability, cost, and capacity; the core execution loop and interfaces that turn models into useful behavior; the shared infrastructure that enables other teams to build on Codex; and the feedback loops that turn real-world usage into better models and better agent behavior over time. About the Role We’re looking for engineers to build the infrastructure that powers Codex agents in production. This role focuses on the systems that let models safely execute code, interact with tools, complete long-running tasks, and operate reliably and efficiently at scale. You’ll design and operate the infrastructure behind sandboxed execution, orchestration, stateful workflows, app-server and SDK boundaries, and model rollouts. You’ll work at the intersection of distributed systems, developer tooling, and AI, building primitives that make Codex faster, safer, more reliable, and easier for the rest of the organization to build on. What You’ll Do - Design and build execution environments for AI agents, including sandboxing, isolation, and reproducibility. - Develop systems for agent orchestration across multi-step, tool-using workflows. - Build infrastructure for running, testing, and debugging code generated by models. - Create state and memory systems that allow agents to persist context across long-running tasks. - Optimize tokens, latency, reliability, and cost across Codex’s production fleet. - Support model rollouts, capacity planning, and the core tradeoffs between quality, speed, and economics to manage a fleet of frontier agents at scale. - Build shared platform capabilities that unblock product teams, partner teams, and open source Codex. You Might Be a Good Fit If You - Have strong experience in distributed systems or infrastructure engineering. - Have built systems involving containers, sandboxing, or virtualization. - Are comfortable working across backend systems, APIs, and developer tooling. - Care deeply about system reliability, performance, and security. - Enjoy working on ambiguous, zero-to-one problems. - Want to help build the systems that turn model capability into a dependable software engineering agent. Bonus Points - Experience with code execution platforms, CI/CD systems, or build systems. - Experience coding in Rust - Familiarity with LLMs, agents, or tool-use frameworks. - Background in security engineering or isolation systems. - Experience building developer platforms, IDE tooling, or open source infrastructure. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the

About the Team The Privacy Engineering Team at OpenAI is committed to integrating privacy as a foundational element in OpenAI's mission of advancing Artificial General Intelligence (AGI). Our focus is on all OpenAI products and systems handling user data, striving to uphold the highest standards of data privacy and security. We build essential production services, develop novel privacy-preserving techniques, and equip cross-functional engineering and research partners with the necessary tools to ensure responsible data use. Our approach to prioritizing responsible data use is integral to OpenAI's mission of safely introducing AGI that offers widespread benefits. About the Role We are looking for a Software Engineer with experience developing secure backend systems that prioritize customer data protection. This role is ideal for someone who is deeply committed to the nexus of product development, security, and privacy. This position is located in San Francisco. Relocation assistance is available. In this role, you will: - Design, build, and implement back-end systems that power privacy and security functions within our API products and consumer applications. - Conduct threat modeling, privacy design reviews, and code-level assessments to ensure the highest privacy and security standards. - Collaborate with product managers, and other engineering teams to develop new products that leverage emerging research while maintaining privacy and security integrity. - Work closely with the legal team to document and evaluate internal compliance practices, ensuring alignment with legal requirements and organizational standards, and conduct thorough internal audits to maintain the highest levels of compliance and integrity. - Coordinate and actively participate in privacy incident response efforts. You might thrive in this role if you: - Have substantial experience in building (and re-engineering) production systems to meet legal requirements, manage increased scale, and uphold privacy and security standards. - Have led or been a significant contributor to security projects, demonstrating a cross-functional collaboration skill set. - Deeply care about user experience and take pride in developing products that meet customer needs whilst drawing on experience in threat modeling, secure design, and regulatory compliance. - Possess a humble attitude, strong communication skills, and an eagerness to support your colleagues, reflecting a readiness to do whatever is necessary for team success. - Take responsibility for problems from beginning to end, demonstrating problem-solving abilities and preparedness to acquire any missing knowledge necessary to get the job done. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Cha

ABOUT THE TEAM OpenAI’s Alignment team works to ensure that increasingly capable AI systems reliably follow human intent, avoid catastrophic behavior, and remain controllable, auditable, and safe as capabilities scale. The team is fast-moving: priorities change as evidence, risks, and organizational needs change. We need people who can help execute important alignment and safety priorities that don’t otherwise have an owner. ABOUT THE ROLE We are looking for a Research Program Manager for the Alignment team. You should expect to move between big, ambiguous questions and very concrete execution: writing a crisp project plan, tracking owners, chasing a decision, running a process, organizing a meeting, helping unblock a researcher, or picking up the operational work nobody else has time to do. OpenAI is a continuously evolving place, and this role will evolve with it. Some projects will be highly visible and strategic; others will be small, practical, or unglamorous. The common thread is doing whatever needs to be done in service of alignment/safety at OpenAI. If you want a role where no work is below you but where scope can expand quickly, and where good judgment and follow-through matter as much as title or function, this may be a strong fit. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. IN THIS ROLE, YOU WILL: - Own 2-4 ambiguous alignment special projects at a time, from problem definition through execution and follow-through. - Turn fuzzy goals into clear plans, milestones, owners, decision points, and operating rhythms. - Drive practical execution across research, engineering, policy, product, legal, communications, recruiting, and external collaborators as needed. - Create and maintain lightweight systems that help alignment work scale, such as project trackers, decision memos, operating processes, review loops, and recurring coordination forums. - Synthesize technical and organizational context into clear written artifacts that help leaders and researchers make decisions quickly. - Map the alignment and AI safety community: understand who is working on what, what people care about, where OpenAI can help, and which collaborations are worth pursuing. - Run internal or external programs when they matter for alignment, including events, fellowships, publishing workflows, community programs, research collaborations, and governance processes. - Do the small work that makes the big work possible: schedule the meeting, write the first draft, clean up the tracker, follow up on the loose end, and make sure the thing actually ships. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have 4+ years of experience in research program management, technical program management, operations, chief-of-staff work, partnerships, recruiting, or related roles in fast-moving environments. - Can take a loosely scoped problem, figure out what matters, decide what needs to happen next, and drive it without waiting for detailed instructions. - Are low-ego and execution-oriented: you are equally willing to shape a strategy, write the memo, run the meeting, and handle the logistics. - Write clearly and concisely, especially when translating messy technical or organizational context into decision-ready documents. - Can build trust with researchers and technical teams while also keeping work moving across operational and cross-functional partners. - Are comfortable with ambiguity, confidentiality, changing priorities, and holding several workstreams in your head at once. - Have familiarity with the AI safety or alignment ecosystem, or can get up to speed quickly enough to know who to talk to and what the community cares about. STRONG CANDIDATES MAY ALSO HAVE: - Experience working directly with AI safety, machine learning, or research teams. - Experience building a new program, process, community effort, or function from scratch. - Experience with fellowships, re

About the Team The Agent Enablement team works across engineering, product, design, and research to bring our technology to the world. We seek to learn from deployment and broadly distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. We aim to make our innovative tools globally accessible, transcending geographic, economic, and platform barriers. Our commitment is to facilitate the use of AI to enhance lives, supported by rigorous insights into how people use our products. About the Role We are looking for experienced full-stack engineers to join our new Agent Enablement team. Our goal is to design and grow an open ecosystem of agent-enabled sites and services. This is a wide-ranging role: you’ll build new user and agent identity protocols, user experiences to control and observe agents across web, desktop, and mobile, and much more. We will rely on you to drive our technical decisions while also steering our product and partnership direction, optimizing for both short-term impact and long-term success of the ecosystem. We value engineers who are impact-driven, autonomous, and adept at removing barriers to forward progress. In this role, you will: - Design the primitives and protocols for an open agent ecosystem, enabling our users’ agents to make the best use of sites and services across the internet. - Build a next-generation user experience to observe and control agents, across web, desktop, and mobile. - Evolve our approach to token consumption across subscriptions and API customers. - Execute on fast-paced projects in collaboration with research, design, data science and other product engineering teams. - Work closely with our strategic customers and partners to grow the ecosystem. You might thrive in this role if you: - Have strong full-stack engineering skills and experience shipping customer-facing products from concept to production. You’re comfortable working across frontend, backend, APIs, data models, and product design. - Are comfortable with ambiguity and rapidly changing conditions. You view change as an opportunity to bring structure and clarity, and you have a track record of turning high-level ideas into successful outcomes. - Have worked closely with users and customers, and can translate feedback into product improvements. - Are familiar with enterprise software concepts such as identity, permissions, governance, compliance, and billing. - Enjoy fast-moving zero-to-one environments and are excited to pursue an internet-wide vision. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse a

About the Team We’re hiring software engineers to make the Workload team more productive. The Workload team maintains the core components of OpenAI’s training and inference frameworks and helps execute frontier experiments. About the Role We’re looking for someone who cares about the developer experience of working in and around OpenAI’s core training and inference frameworks. In this role you will: - Be responsible for optimizing the development workflows of the engineers around you - Work within various Workload teams to address their specific needs, but collaborate with the centralized teams that own various aspects of development experience - Optimize iteration speed, both broadly, and in particular by optimizing specific teams’ CI - Improve reliability, for instance, by driving testing strategy for particular components - Work through the long tail of things that it takes to build libraries and systems that will delight researchers You might thrive in this role if: - You are motivated by helping people. You believe a thing that separates great teams from good teams are the players willing to do whatever work it takes, without ego. - You believe in the power of developer experience. Something magical happens when people can quickly and confidently iterate on a simple codebase, but this magic is fragile and must be fought for. - When you see someone trip over something, no matter how small, your first instinct is asking yourself what it would take for that to not happen again. Your second instinct is clicking merge on the PR you’ve already written to make it so. - You are pragmatic. You have the ability to see the world through a perfectionist’s eyes, but are not yourself a perfectionist. You know which problems to pick and when to switch to making progress on a different problem. - You like going end-to-end on things. You love co-design — that feeling when you were only able to find the right solution because you both deeply understand the users that interact with a system and the system itself. - You like working with Python About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to

ABOUT THE TEAM We’re hiring software engineers to make OpenAI’s networking teams more productive. These teams build and operate the high-performance networking systems that support OpenAI’s training and inference infrastructure at frontier scale. ABOUT THE ROLE We’re looking for someone who cares deeply about the developer experience of engineers working on complex infrastructure systems — especially around build systems, test architecture, release pipelines, and reliable development workflows. This role will be embedded with OpenAI’s networking team: making it faster, safer, and easier for engineers to build, test, validate, and ship changes across multi-server, networked, and hardware-adjacent environments. In this role you will: - Improve development workflows for engineers building and operating OpenAI’s networking systems - Design and improve continuous deployment, release, and validation pipelines - Build and maintain test harnesses for multi-server, networked, and hardware-backed environments - Improve iteration speed across C++, Python, and build-system-heavy codebases - Partner with engineers to identify friction in CI, testing, debugging, and deployment workflows - Drive testing and reliability strategy for infrastructure components that support large-scale training and inference workloads - Work closely with centralized developer experience teams while staying deeply embedded with the networking engineers closest to the systems You might thrive in this role if: - You are motivated by helping other engineers move faster and with more confidence - You have experience with CI/CD, release pipelines, testing infrastructure, or build systems - You are comfortable moving between C++, Python, and build systems such as CMake, Bazel, or Blaze - You enjoy building test harnesses, automation, and workflow improvements for complex systems - You do not need to be a networking expert, but you are excited to learn enough about the domain to make the team meaningfully more effective - When you see repeated friction — slow builds, flaky tests, brittle release processes, painful debugging, unclear validation — your instinct is to fix the underlying system - You are pragmatic and know how to balance high standards with forward progress - You like going end-to-end: understanding the engineers, the workflows, the codebase, and the operational realities behind the system - You are self-directed and comfortable operating with ambiguity in a high-context infrastructure environment About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with th

About the Team Our Inference team brings OpenAI’s most capable research and technology to the world through our products. We empower consumers, enterprises and developers alike to use and access our state-of-the-art AI models, allowing them to do things that they’ve never been able to before. We focus on performant and efficient model inference, as well as accelerating research progression via model inference. About the Role We’re hiring engineers to scale and optimize OpenAI’s inference infrastructure across emerging GPU platforms. You’ll work across the stack - from low-level kernel performance to high-level distributed execution - and collaborate closely with research, infra, and performance teams to ensure our largest models run smoothly on new hardware. This is a high-impact opportunity to shape OpenAI’s multi-platform inference capabilities from the ground up with a particular focus on advancing inference performance on AMD accelerators. In this role, you will: - Own bring-up, correctness and performance of the OpenAI inference stack on AMD hardware. - Integrate internal model-serving infrastructure (e.g., vLLM, Triton) into a variety of GPU-backed systems. - Debug and optimize distributed inference workloads across memory, network, and compute layers. - Validate correctness, performance, and scalability of model execution on large GPU clusters. - Collaborate with partner teams to design and optimize high-performance GPU kernels for accelerators using HIP, Triton, or other performance-focused frameworks. - Collaborate with partner teams to build, integrate and tune collective communication libraries (e.g., RCCL) used to parallelize model execution across many GPUs. You can thrive in this role if you: - Have experience writing or porting GPU kernels using HIP, CUDA, or Triton, and care deeply about low-level performance. - Are familiar with communication libraries like NCCL/RCCL and understand their role in high-throughput model serving. - Have worked on distributed inference systems and are comfortable scaling models across fleets of accelerators. - Enjoy solving end-to-end performance challenges across hardware, system libraries, and orchestration layers. - Are excited to be part of a small, fast-moving team building new infrastructure from first principles. Nice to Have: - Contributions to open-source libraries like RCCL, Triton, or vLLM. - Experience with GPU performance tools (Nsight, rocprof, perf) and memory/comms profiling. - Prior experience deploying inference on other non-NVIDIA GPU environments. - Knowledge of model/tensor parallelism, mixed precision, and serving 10B+ parameter models. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorp

About the Team OpenAI’s mission is to build safe artificial general intelligence (AGI) that benefits all of humanity. Achieving this requires bringing the world’s most exceptional talent under one roof to push the boundaries of what’s possible. Our Research Recruiting team plays a critical role in this effort. We are an embedded part of the research organization—working side by side with our research staff to deeply understand evolving priorities, build trust, and strategically shape the future of OpenAI’s talent. About the Role You’ll focus on identifying and engaging world‑class AI researchers and scientists who are advancing the frontier of machine learning and artificial intelligence. In this role, you will drive top‑of‑funnel sourcing efforts, build thoughtful outreach strategies, and cultivate long‑term relationships with highly specialized talent across academia and industry to support our Research teams’ hiring ambitions. You’ll work across a range of deeply technical and research‑oriented roles, mapping emerging fields, identifying leading contributors, and proactively engaging experts in their respective domains. You’ll partner closely with recruiters, hiring managers, and research leaders to surface exceptional candidates, generate strong pipelines for niche searches, and continuously refine sourcing strategies to help our research teams grow and scale. Your Responsibilities: - Build highly targeted searches that deliver candidate profiles with precision. - Craft thoughtful approaches to candidate outreach that will engage even the most passive talent and cultivate relationships with high priority targets over the long-term. - Develop and utilize creative strategies to discover non-traditional, research-adjacent, and/or up and coming talent. - Partner closely with hiring managers across OpenAI to develop customized sourcing strategies and advise them on the market. - Take a highly organized and data driven approach to candidate tracking and funnel metrics. - Represent OpenAI and engage with candidates at conferences and events. We’re Seeking: - Significant experience sourcing specialized Engineering and/or AI talent across a range of highly technical domains. - Deep interest in AI research and a desire to engage directly with global research communities. - Demonstrable success in sourcing and hiring top technical talent at a premier tech company and/or high-growth startup - Ability to drive multiple complex searches in parallel while maintaining a high quality bar and exceptional stakeholder + candidate experience. - A passion for the research and mapping components of sourcing; it’s a long game. Workplace & Location This role can be based in our San Francisco, New York, or Seattle offices or remotely in the US. When applying, let us know which location(s) work for you. If you’re joining us in person, we offer relocation support and follow a hybrid schedule: three days a week in the office, with the option to work from home on Thursdays and Fridays. Our offices are set up for focus and connection—with height-adjustable desks, conference rooms, phone booths, well-stocked kitchens full of snacks and drinks, three in-house prepared meals daily, outdoor space for working and socializing, wellness rooms, private bike storage, and more. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disab

Join the engineering teams that bring OpenAI’s ideas safely to the world!! The Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role As OpenAI continues to grow, we are looking for experienced, problem-solving engineers to ensure our systems scale. Our success depends on our ability to quickly iterate on products while also ensuring that they are performant and reliable. You will work in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it’s delivered with safety and reliability in mind. Successful candidates will play a crucial role in ensuring the reliability, scalability, and performance of our systems as we continue to expand. As a reliability expert, you will be at the forefront of maintaining and enhancing the stability, scalability, and performance of our rapidly evolving infrastructure. You will work closely with cross-functional teams, including software engineers, product managers, and data scientists, to build and maintain resilient systems that can handle our growing user base and workload. In this role, you will: - Design and implement solutions to ensure the scalability of our infrastructure to meet rapidly increasing demands. - Build and maintain the load, chaos and synthetic testing software leveraged by development teams to make the systems they design and operate more reliable. - Build and maintain automation tools to streamline repetitive tasks and improve system reliability. - Build and maintain the platform for CPU/storage, GPU, and network lifecycle management to drive efficiency, accountability and support dynamic optimization of our resources. - Implement fault-tolerant and resilient design patterns to minimize service disruptions. - Develop and maintain service level objectives (SLOs) and service level indicators (SLIs) to measure and ensure system reliability. - Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world. - Participate in an on-call rotation to respond to critical incidents and ensure 24/7 system availability. You might thrive in this role if you: - Have a track record of accelerating engineering reliability by empowering your fellow engineers with excellent tooling and systems. - Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed. - Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done. - Enjoy seeking out and addressing bottlenecks and areas for performance improvement in our systems. - Utilize Infrastructure as Code (IaC) principles to automate infrastructure provisioning and configuration management. - Are experienced in collaborating with cross-functional teams to ensure that reliability and scalability are considered in the design and development of new features and services. Qualifications: - Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience). - Proven experience as an SWE focused on reliability or a similar role in a fast-paced, rapidly scaling company. - Strong proficiency in cloud infrastructure. - Proficiency in programming languages. - Experience with containerization technologies and container orchestration platforms like Kubernetes. - Knowledge of IaC tools such as Terraform or CloudFormation. - Excellent problem-solving and troubleshooting skills. - Strong communication and collaboration skills. - Experience with observability tools such as DataDog, Prometheus, Grafana and Splunk. - Experience with microservices architecture and service mesh techno

About the Team The Agent Infrastructure team at OpenAI is responsible for building systems that enable training and deployment of highly useful AI agents, both internally and for the world. We work hand-in-hand with researchers to design and scale the environment in which agentic models are trained – providing a workspace for AI models to execute code, debug issues, and develop software just as human SWEs do. Our training environment for agentic models operates at an extremely high scale and has the flexibility to emulate any environment in which an agent might work. At the same time, our team builds and maintains OpenAI’s core platform for the deployment and execution of agents in production. Our systems power products such as Codex, Operator, tool use in ChatGPT, and future agentic products. Some of the most challenging technical problems in scaling the capabilities and utility of agents and agentic models lie in the infrastructure layer – and our team is focused on building the research and production systems that enable OpenAI to train the most capable models in the world, and maximize the utility of our agentic products for users around the world. About the Role As a Software Engineer on the Agent Infrastructure team, you will have the opportunity to work closely with both research and product at OpenAI - building and scaling systems to train highly capable agentic models, and building the platform and integrations to launch new agents to hundreds of millions of users worldwide. Your work will consist of both building new capabilities - standing up the infrastructure and integrations needed to train more complex agentic models - and rapidly scaling these new capabilities to some of the largest compute clusters in the world. At the same time, you’ll be instrumental to the launch of agentic products at OpenAI - building, maintaining, and scaling the production platform on which all agents run. We’re looking for people with deep experience building AI infrastructure and who are used to working closely with researchers to build high-performance systems at massive scale for novel use cases. This role is based in San Francisco, CA or New York City, NY. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Push massive compute clusters to their limits. You will be a core contributor to a novel container orchestration platform built in-house by our team to scale far beyond what’s possible with systems like Kubernetes. - Develop and maintain FastAPI and gRPC APIs that serve as the interface for our agentic infrastructure used both in training and production. - Use Terraform to stand up and evolve complex infrastructure for both research and production. - Collaborate with research teams to stand up and optimize systems for novel AI training runs and experimental applications. You might thrive in this role if you: - Have deep experience working on large-scale machine learning infrastructure. You know how to reason about training at scale, identifying bottlenecks and engineering solutions to optimize system performance in training environments. - Know how to build new things from 0-1 quickly, and then scale them 1,000,000x. - Have a keen eye for performance and optimization. You know how to squeeze the most performance out of complex, globally-distributed systems. - Know your way around cloud platforms and work with infrastructure-as-code tech like Terraform. - Are driven by solving complex, ambiguous problems at the intersection of infrastructure scalability, virtualization efficiency, and agentic capabilities. - Have deep technical expertise in virtualization and containerization technologies (e.g. Kata, Firecracker, gVisor, Sysbox) and are passionate about optimizing runtime performance. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the

About the Team The Intelligence and Investigations team seeks to rapidly detect and disrupt abuse in AI technologies to ensure their safe use. We are dedicated to identifying emerging abuse trends, analyzing risks, and working with our internal partners to implement effective mitigation strategies to protect against misuse. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits all of humanity. About the Role As an Intelligence Systems Engineer, you’ll be focused on advancing our Intelligence & Investigations efforts at OpenAI, ensuring the safe and responsible use of AI across our products and services. We are seeking a self-starter to prototype, develop, and maintain new tools and processes that integrate OpenAI’s models and infrastructure to enable internal teams to make sense of large, open-domain datasets, fight abuse, and inform high-stakes decisions. You will be a crucial technical bridge between our data scientists and subject matter experts and technical teams like Platform Integrity, Safety Systems, and Research by leading the development of innovative tools and processes that bolster goals in scaled collections, investigations, and analysis. The ideal candidate has strong analytical and data skills, with a background in both prototyping and building scalable systems that can swiftly detect emerging threats, process vast amounts of information, and deliver insights to stakeholders. We value professionals with outstanding communication skills, a commitment to continuous learning, and who are dedicated to promoting the responsible use of AI. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Prototype, build, and maintain at-scale intelligence systems that detect, triage, and monitor targeted signals from both open-source and internal data - Analyze requirements and deliver end-to-end solutions that address complex intelligence challenges while ensuring code quality and scalability - Be a crucial technical bridge between our Intelligence needs and technical teams like Platform Integrity, Safety Systems, and Research - Contribute to shaping the team’s technical strategy and design user interfaces for non-technical investigators and analysts - Prototype new applications to automate team workflows and route leads - Report on scaled impact using advanced data analysis and visualization products - Work closely with internal stakeholders and address their technical intelligence needs You might thrive in this role if you have / are: - Experience in engineering and project management, ideally with a focus on security, intelligence, or data analysis products. - Strong technical background and proven track record of building and maintaining systems that enable users to make sense of large, open-domain datasets, fight abuse, and inform high-stakes decisions. - Proficiency in data analysis, SQL / Python, and application of novel AI techniques for problem-solving. - Demonstrated ability to leverage cross-functional teams, manage complex product ecosystems, and deliver results in a fast-paced and sometimes ambiguous environment. - Strong belief in & passion for the value of AI in enabling humans to better understand the complexity of the world About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex

About the Team The Foundations Research team works on high-risk, high-reward ideas that could shape the next decade of AI. Our goal is to advance the science and data that enable our training and scaling efforts, with a particular focus on future frontier models. Pushing the boundaries of data, scaling laws, optimization techniques, model architectures, and efficiency improvements to propel our science. The Search team sits within Foundations, building agentic search by co-designing model–system interfaces with the core search stack (serving, indexing, retrieval) to translate model intent into reliable, real-world actions. Operating at the frontier of AI and information retrieval, the team develops large-scale systems that transform and index vast corpora, enabling models to reason over global knowledge and act dependably. In close partnership with researchers, we rapidly bring modeling breakthroughs into production and redefine how intelligent systems discover, retrieve, and synthesize information at planetary scale. About the Role We’re looking for a Software Engineer focused on building and scaling retrieval systems. You’ll work with a team of researchers and engineers to develop infrastructure that enables models to retrieve and act on the right information at the right time. This includes designing and operating indexing systems, retrieval pipelines, and serving layers. This work supports retrieval across OpenAI products and research, with direct impact on system performance, reliability, and scale. Responsibilities - Build and scale retrieval infrastructure across indexing, serving, and query execution. - Develop low-latency, high-throughput systems for real-time model interaction. - Partner with research to productionize embedding and retrieval techniques. - Support dense, sparse, and hybrid retrieval pipelines. - Own system performance, reliability, and observability at scale. - Collaborate across Pretraining, Inference, and Product teams to integrate retrieval end-to-end. - Contribute to model - system interfaces for agentic workflows. You Might Thrive in This Role If You Have - Experience building and scaling distributed systems. - Background in search, retrieval, or indexing systems. - Familiarity with embedding-based or ML-powered systems. - Experience with performance optimization and production reliability. - Ability to work across ML and systems boundaries. - First-principles thinking in ambiguous problem spaces. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resu

ABOUT THE TEAM The Cooperative AI team is scaling to devices and embedded operations and user experiences. Our model-powered scaled workforce and knowledge system are moving on to the edge and powering our devices and edge experiences. By leveraging OpenAI’s state-of-the-art models and technologies, in production and in the lab, we develop systems that reason and work autonomously with customers and with our workforce responsible for operational work. We carry real workloads for critical systems across finance, sales, customer support, integrity, product insights, internal operations, and now devices to drive insights into product and industry. We partner closely with internal teams and external customers globally, operating in a hyper-fast feedback loop where many of our users are just a few steps away. This proximity allows us to iterate quickly, validate impact in real time, and accelerate industry impacting learnings and systems builds. We are a highly multidisciplinary, self-contained team focused on transforming the workplace via smart systems, knowledge, scalable and reliable primitives that apply world-class AI capabilities across domains. Our mission is to learn fast and transform how humans collaborate with AI at scale. ABOUT THE ROLE We are looking for a Technical Lead Manager to lead a team of engineers building AI-native embedded experiences and operations-forward systems. In this role, you will perform both hands-on technical leadership and small team management. You will drive business outcomes, architecture and technical strategy for complex systems, contribute directly to implementation, and help grow a high-performing team. You will work closely with internal stakeholders to understand operational challenges, identify high-leverage opportunities for automation, and deliver solutions that create measurable impact. This role is ideal for someone who enjoys moving between technical design, coding, mentoring engineers, and working directly with users to understand their problems. IN THIS ROLE, YOU WILL: - Lead the technical direction, architecture, and execution of critical Cooperative Systems initiatives. - Manage and mentor a team of engineers while maintaining meaningful hands-on technical involvement. - Partner closely with stakeholders across Support, Operations, Finance, IT, Sales, Legal, and other functions to identify opportunities for AI-driven improvements. - Design and build production systems that leverage large language models and other AI technologies. - Drive engineering excellence through strong technical decision-making, code quality, operational rigor, and thoughtful system design. - Balance rapid experimentation with long-term platform investments. - Establish technical roadmaps and execution plans for projects spanning multiple teams. - Coach engineers through technical challenges, career growth, and project execution. - Help shape the culture, processes, and engineering practices of a growing organization. YOU MIGHT THRIVE IN THIS ROLE IF YOU - Have experience leading engineering projects involving consumer devices and/or embedded systems - Enjoy building products and systems in ambiguous, fast-moving environments. - Are comfortable moving between architecture discussions, coding, stakeholder meetings, and team leadership. - Have strong systems design and software engineering fundamentals. - Are excited about applying AI to solve real-world operational problems. - Communicate effectively with both technical and non-technical audiences. - Have a track record of delivering complex, cross-functional initiatives from concept through production. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Threat Intelligence team protects OpenAI’s technology, people, research, and infrastructure by proactively identifying and disrupting adversaries who seek to compromise our systems or misuse our models. We investigate sophisticated threats, build tooling to scale and augment analysis, and deliver intelligence that shapes security strategy and equips leadership with timely, risk-aware insights. We combine technical depth, investigative rigor, and strong cross-functional partnerships to uncover threats and drive impact across OpenAI’s security and research organizations. About the Role As a Technical Threat Investigator at OpenAI, you will help protect the company from sophisticated adversaries targeting OpenAI and the broader ecosystem, as well as those attempting to misuse our models in support of cyber operations. This is a deeply investigative role. You will independently conduct complex, end-to-end investigations into capable threat actors to understand their behavior, infrastructure, emerging techniques, and how AI is integrated into their workflows. You’ll use these insights to proactively identify malicious activity and drive detection, disruption, enforcement, and safety improvements across the company. You’ll translate your investigative findings into durable solutions that scale impact. You’ll build and own lightweight tooling, automate where it matters, and create AI-assisted workflows to make investigations faster, more repeatable, and more effective over time. In this role, you will: - Conduct deep, end-to-end investigations into sophisticated threat actors interacting with OpenAI’s models, products, and broader ecosystem. - Think like an adversary — model attacker behavior, anticipate misuse patterns, and proactively hunt for, identify, and disrupt malicious activity. - Leverage internal telemetry, OSINT, vendor data, and in-house safety systems to produce high-confidence findings on adversarial use of our models in cyber operations, platform abuse, and threats targeting OpenAI. - Translate investigative findings into concrete improvements across detection, enforcement, intel, and safety pipelines. - Build tooling, scripts, automations, and agentic workflows that scale investigative throughput and reduce manual effort. - Prototype solutions in ambiguous and emerging problem spaces, including new product surfaces, novel attacker behaviors, and areas where existing coverage may be limited. - Partner closely with teams across Security, Safety Systems, Product Policy, and Integrity to operationalize findings and drive meaningful outcomes. - Produce clear, high-signal written outputs and recommendations that inform decision-making across technical and executive stakeholders. You might thrive in this role if you have: - Experience in threat intelligence, incident response, offensive security, or a closely related field. - Solid experience investigating sophisticated threat actors, including model misuse, platform abuse, or other adversarial activity in complex environments. - A strong understanding of adversary behavior, infrastructure, and tradecraft, and the ability to apply that understanding to proactive investigations. - Demonstrated ability to independently drive deep technical investigations from ambiguous signals through to clear, actionable findings. - Experience using AI to extend or accelerate investigative workflows. - Strong scripting ability and comfort building lightweight automation, investigative tooling, or workflows that improve scale and repeatability. - Strong ability to leverage telemetry from diverse systems and vendors to drive investigations, including directly querying, extracting, and stitching together data where needed. - Strong written and verbal communication skills, especially the ability to translate technical investigations into high-signal output

ABOUT THE TEAM The Statsig team within OpenAI builds the experimentation, feature rollout, dynamic configuration, and analytics systems that help OpenAI ship products with speed, safety, and evidence. Our work sits on the critical path for how product, engineering, research, and go-to-market teams learn from real-world usage and make high-confidence decisions. Statsig began as an independent company focused on helping builders move faster through trustworthy experimentation and feature management. After Statsig joined OpenAI, the team began the next chapter: bringing that deep product expertise, customer intuition, and mature platform infrastructure into OpenAI as the experimentation and rollout platform for every product we ship. Today, we support teams across ChatGPT, Codex, model measurement, consumer experiences including ads, business subscriptions, developer products, and the shared infrastructure that connects them. These teams rely on Statsig to safely introduce new capabilities, compare product and model behavior, measure impact, and roll changes forward or back with confidence. We are at a defining moment in the platform journey. OpenAI has the data, product surface area, and pace of innovation to learn faster than almost any organization in the world, but that potential only becomes real if teams can experiment responsibly, measure clearly, and roll out changes safely. Adoption of the platform is accelerating rapidly across the company, and recent SDK and server-side infrastructure work has already produced measurable wins in latency, reliability, memory usage, and compute efficiency for important services. Based out of OpenAI’s Bellevue office, we are a close-knit team that values in-person collaboration, urgency, craft, and impact. We build for other builders, and the best version of this team is one where every OpenAI product team can move faster because the experimentation and rollout layer is dependable, fast, and easy to use. ABOUT THE ROLE We are looking for a product engineer to help build the systems that make experimentation and rollout a first-class capability across OpenAI. You will work across frontend, backend, SDK, data, and infrastructure surfaces, with a focus on making complex workflows feel simple for the teams shipping OpenAI’s most important products. This role is not only about adding features to a platform. It is about shaping the operating system OpenAI uses to decide what to launch, how to learn from it, and how to protect users and products as we scale. OpenAI’s next phase depends on our ability to move quickly without losing rigor, and Statsig is one of the places where that balance becomes real. You will collaborate closely with teams building ChatGPT, Codex, model measurement workflows, consumer monetization and ads, business subscription experiences, developer products, and shared infrastructure. You will translate their launch and measurement needs into platform capabilities that can support the full company, not just one-off use cases. IN THIS ROLE, YOU WILL - Build product experiences and platform capabilities for experimentation, feature flags, dynamic configuration, rollout safety, and analytics. - Partner with product teams to understand launch workflows, measurement needs, and decision points, then turn those insights into durable platform features. - Improve SDK and server-side systems so experimentation and configuration are fast, reliable, and safe for high-scale OpenAI services. - Help teams across ChatGPT, Codex, model measurement, ads, business subscriptions, developer products, and infrastructure use Statsig effectively. - Design workflows that make it easier to create experiments, interpret results, monitor rollouts, and act quickly when a launch needs adjustment. - Contribute to the technical direction of a platform that must support rapid adoption, high availability, and increasingly sophisticated product and model evaluation needs. - Work from the Bellevue office with

About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role We’re looking for a GPU Inference Engineer to contribute to improvements in model serving efficiency for our Robotics research. This is a high-impact role where you’ll drive initiatives to optimize inference performance and scalability. You’ll also be engaged in model design, to help assist our researchers in developing inference-friendly models. This role is critical to scaling the team’s broader goals - it will directly enable leadership to focus on higher-leverage initiatives by building a stronger technical foundation. In this role you will: - Perform engineering efforts focused on improving model serving, inference performance, and system efficiency - Drive optimizations from a kernel and data movement perspective to improve system throughput and reliability - Partner closely with research and product teams to ensure our models perform effectively at scale - Design, build, and improve critical serving infrastructure to support Robotics growth and reliability needs You might thrive in this role if you: - Have deep expertise in model performance optimization, particularly at the inference layer - Have a strong background in kernel-level systems, data movement, and low-level performance tuning - Are excited about scaling high-performing AI systems that serve real-world, multimodal workloads - Can navigate ambiguity, set technical direction, and drive complex initiatives to completion This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data se

About the Team: OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role OpenAI is developing custom silicon to power the next generation of frontier AI models. We’re looking for experienced Design Verification (DV) Engineers to ensure functional correctness and robust design for our cutting-edge ML accelerators. You will play a key role in verifying complex hardware systems—ranging from individual IP blocks to subsystems and full SoC—working closely with architecture, RTL, software, and systems teams to deliver reliable silicon at scale. In this role you will: - Own the verification of one or more of: custom IP blocks, subsystems (compute, interconnect, memory, etc.), or full-chip SoC-level functionality. - Define verification plans based on architecture and microarchitecture specs. - Develop constrained-random, directed, and system-level testbenches using SystemVerilog/UVM or equivalent methodologies. - Build and maintain stimulus generators, checkers, monitors, and scoreboards to ensure high coverage and correctness. - Drive bug triage, root cause analysis, and work closely with design teams on resolution. - Contribute to regression infrastructure, coverage analysis, and closure for both block- and top-level environments. You might thrive in this role if you have: - BS/MS in EE/CE/CS or equivalent with 3+ years of experience in hardware verification. - Proven success verifying complex IP or SoC designs in industry-standard flows - Proficient in SystemVerilog, UVM, and common simulation and debug tools (e.g., VCS, Questa, Verdi). - Strong knowledge of computer architecture concepts, memory and cache systems, coherency, interconnects, and/or ML compute primitives. - Familiarity with performance modeling, formal verification, or emulation is a plus. - Experience working in fast-paced, cross-disciplinary teams with a passion for building reliable hardware. To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the fol

ABOUT THE TEAM The Consumer Products team at OpenAI builds end-to-end hardware and software systems that bring AI into the physical world. We work at the intersection of custom silicon, embedded systems, operating systems, and cloud services to deliver reliable, production-ready devices at scale. Within Consumer Products, the camera stack is a critical sensing component. The team partners closely with electrical engineering, silicon vendors, systems, and higher-level perception and product teams to bring up new hardware, stabilize capture pipelines, and ensure camera systems are robust, debuggable, and ready for real-world deployment. This work spans early prototypes through production, with a strong emphasis on correctness, repeatability, and long-term reliability. ABOUT THE ROLE As a Camera Firmware Engineer, you will own low-level camera enablement on custom hardware—from early board bring-up through stable production capture. You will develop and maintain the firmware and software that makes camera sensors reliable, controllable, and debuggable, forming the foundation for higher-level camera pipelines and product features. This role is highly hands-on and systems-oriented. You will work close to the hardware, diagnose real-world timing and integration issues, and build tooling that accelerates iteration across the entire camera stack. This role is based in San Francisco, CA. We follow a hybrid work model with four days per week in the office and offer relocation assistance to new employees. IN THIS ROLE, YOU WILL - Bring up new camera sensors and modules on prototype and production boards, including link stability, sensor control, and correct power, reset, and clock sequencing. - Develop and maintain low-level camera software, including sensor drivers, board configuration, and camera subsystem integration across hardware revisions. - Enable and validate core capture paths for development and production, including RAW capture for debugging, still capture, and hardware-accelerated video encode and streaming with stable timestamps and long-duration reliability. - Stand up camera control and repeatability features, including basic 3A loop exposure, manual overrides and locks, and deterministic presets to support validation and debugging. - Build and maintain camera bring-up tooling, such as capture scripts, automated sweeps, manifests, and debugging utilities that make issues reproducible and easy to triage. - Partner closely with electrical engineering, camera pipeline owners, and systems teams to define interfaces, unblock integration, and keep the camera stack stable as the device evolves. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Deep experience shipping embedded camera systems, including sensor bring-up, driver development, and board-level debugging. - Strong C/C++ experience with embedded or Linux-based systems; comfortable debugging across kernel and userspace boundaries. - Hands-on understanding of common camera hardware interfaces (for example, MIPI CSI and sensor control buses) and the practical realities of bring-up, including power, reset, clocking, and sequencing. - Proven track record of building reliable capture paths and effective debug workflows that accelerate iteration through reproducible failures and well-scoped fixes. PREFERRED QUALIFICATIONS - Experience with common mobile or embedded SoC camera stacks and vendor frameworks. - Experience integrating and debugging hardware acceleration blocks adjacent to camera pipelines, such as video encode and decode paths. - Familiarity building higher-level capture pipelines (for example, GStreamer) on top of low-level camera enablement. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with s

The Compute & Infrastructure Strategy team handles strategy and execution of OpenAI’s compute roadmap. This team’s key responsibilities span financial analysis & reporting, capacity planning, commercial and business development, and strategic partnerships. We partner across the business to allocate and deploy our resources for the highest impact outcomes. About the Role Compute is central to OpenAI’s roadmap and vision. We are seeking an Associate to support financial and strategic work across our compute and infrastructure portfolio. This is a finance generalist role that includes core FP&A responsibilities as well as investment analysis, commercial decision support, and strategic planning. You will own analyses and workstreams, partner closely with technical and finance teams, and help shape decisions about how OpenAI invests in and manages compute. In this role, you will be given direction on the objective and expected to independently structure the problem, work through incomplete information, and deliver a high-quality analysis and recommendation. In this role, you will: - Build and maintain financial models across different elements of compute, including GPUs, CPUs, storage, networking, data centers, and power - Support planning, forecasting, budgeting, reporting, and variance analysis across compute and infrastructure - Perform investment analysis and evaluate commercial decisions and strategic initiatives - Prepare high-quality analyses, recommendations, and Exec and Board-facing presentations - Support business partners across compute infrastructure, FP&A, and strategic finance - Help improve the team’s processes, tools, and ways of working, and identify opportunities for OpenAI to continue leading in compute You might thrive in this role if you have: - 3+ years of experience across private/growth equity, investment banking, or strategic finance, or 3+ years in a finance operating role at a high-growth technology company - Background in infrastructure, data centers, compute, cloud, semiconductors, or a related industry strongly preferred - Exceptional analytical, financial modeling, and written and verbal communication skills - Proven ability to learn quickly and succeed in unfamiliar operating environments - Comfort independently structuring ambiguous problems and working through incomplete information - Track record of producing high-quality work under ambitious deadlines - Effectiveness in multidisciplinary, cross-functional environments - Familiarity with data systems, analytical tools, and large datasets preferred but not required - Bachelor’s degree or equivalent practical experience; technical undergraduate degree preferred but not required About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role As a Security Engineer on Detection & Response, you’ll help protect OpenAI’s most sensitive assets– including our intellectual property, customer data, and the infrastructure that supports them– by building and operating the systems we use to detect suspicious activity and respond effectively when it matters. You’ll work across endpoints, identity, cloud, hyperscale compute infrastructure, and datacenter-adjacent layers, partnering closely with security teams and infrastructure owners to define the telemetry and response requirements we need and building tooling and automation where it delivers the most leverage. In this role, you will: - Build and evolve Detection & Response capabilities across OpenAI’s infrastructure, products, and research environments, with an emphasis on high-signal detection and reliable operational response. - Engineer detection pipelines and tooling: develop rule lifecycle management, measurement/quality loops (coverage, precision, latency), tuning processes, and safe rollout patterns. - Automate response and investigations by building workflows that reduce toil (triage, enrichment, containment, evidence capture) and improve time-to-understand/time-to-contain. - Partner with other Security teams and system/infrastructure owners across the company to ensure new systems ship with the right telemetry, threat models, and response playbooks from day one. - Define D&R requirements and drive visibility across endpoints, identity, SaaS, cloud, Kubernetes: identify telemetry/control gaps, prioritize them, and advocate for fixes with partner teams (and implement directly when it’s the fastest/most effective path). - Evaluate and respond to emergent security concerns in a frontier AI lab environment, such as detection and response strategies for agents operating across infrastructure at scale. You might thrive in this role if you: - Have hands-on threat detection and/or incident response experience, including building detections, running investigations, and improving operational playbooks. - Understand modern adversary tradecraft (TTPs) and can translate it into practical detection strategies and response actions. - Bring a threat modeling mindset. You can evaluate new infrastructure or features, identify D&R implications (what could go wrong, what we’d need to see, how we’d respond), and turn that into concrete requirements for teams shipping the system. - Have experience working in Kubernetes/containerized environments, including building detections from cluster telemetry and understanding common failure and attack modes (workloads, nodes, control plane, networking). - Are comfortable reasoning about lower-level infrastructure and datacenter risks, such as firmware/BMC surfaces, network segmentation/telemetry, and hard-to-observe control paths. - Have experience across major cloud platforms (Azure, AWS, GCP, OCI), and can design cloud-agnostic detection approaches where possible. - Like building automation that replaces repetitive D&R work, including thoughtfully using agent-style workflows where they meaningfully reduce toil, while keeping outcomes measurable, auditable, and safe. - Are energized by new problem areas at a forward-leaning technology company: e.g., thinking through how to detect and respond to agents operating across systems at scale, and turning those ideas into pragmatic telemetry and response requirements. - Communicate clearly and collaborate well across teams.

About the Team The Codex Cloud Apps team builds cloud-native agentic products that reimagine how software is created, reviewed, deployed, and operated. We own end-user experiences such as ChatGPT Sites, Code Review, and future agentic automation products that allow individuals and organizations to delegate increasingly complex work to AI. Our team sits at the intersection of product, engineering, design, and research. We work directly with customers and internal teams to discover entirely new workflows enabled by AI agents, then rapidly turn those ideas into production products used by millions of users and enterprises around the world. About the Role In this role, you'll help define what AI-native software products look like. You'll build experiences that allow users to collaborate with AI agents, automate complex workflows, and create entirely new classes of applications that weren't previously possible. You'll work across product design, backend systems, frontend experiences, enterprise features, and model capabilities to ship products quickly, learn from real-world usage, and continuously improve how people use agents in the cloud. In this role, you will: - Design and build end-to-end agentic product experiences across web, desktop, mobile, APIs, and integrations. - Work directly with customers to understand how individuals and organizations adopt AI agents, and translate those insights into product direction. - Build products such as AI-powered code review, application generation, workflow automation, and future agentic experiences. - Partner closely with research teams to transform new model capabilities into usable, reliable customer-facing features. - Design enterprise-ready capabilities including identity, governance, permissions, compliance, auditability, and analytics. - Prototype quickly, ship frequently, and use product telemetry and customer feedback to guide iteration. - Help define entirely new interaction patterns between humans and AI agents to accomplish tasks together. You might thrive in this role if you: - Have strong full-stack engineering skills and experience shipping customer-facing products from concept to production to refinement. - Strong product instincts and a track record of turning ambiguous ideas into successful products. - Experience building developer tools, SaaS products, workflow systems, collaboration tools, or AI-powered products. - Experience working closely with users and customers and translating feedback into product improvements. - Familiarity with modern AI-assisted development workflows and agentic software systems. - Experience with enterprise software concepts such as identity, permissions, governance, compliance, and integrations. - Comfort working across frontend, backend, APIs, data models, and product design. - Enjoy fast-moving 0→1 environments and are excited by defining entirely new categories of software. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or co

About the Team Industrial Compute is building the world's most advanced AI infrastructure. Working alongside our capital partners, engineering teams, and construction organizations, we design and deliver large-scale, mission-critical compute campuses that power the next generation of AI. Our Design organization brings together engineering, construction, and digital design to ensure facilities are coordinated, constructible, and optimized from the earliest planning phases through deployment. About the Role We are seeking a BIM Coordinator / BIM Designer to support the planning and design of large-scale industrial and mission-critical facilities. In this role, you will develop, coordinate, and maintain multidisciplinary BIM models across Civil, Electrical, Mechanical, Architectural, and Structural disciplines, enabling early design validation, constructability reviews, equipment planning, and cross-functional coordination. You will partner closely with internal engineering teams, external design consultants, contractors, and project stakeholders to produce coordinated BIM deliverables that improve design quality, reduce project risk, and support efficient execution across Industrial Compute's global infrastructure portfolio. Key Responsibilities: - Develop and maintain conceptual and schematic BIM models for large-scale industrial and MEP-intensive facilities. - Coordinate BIM models across Civil, Electrical, Mechanical, Architectural, and Structural disciplines. - Create and maintain federated models used for design reviews, spatial coordination, constructability analysis, and clash detection. - Model major building systems including equipment layouts, utility corridors, electrical rooms, mechanical rooms, structural framing, site infrastructure, and architectural constraints. - Coordinate equipment clearances, maintenance access, routing zones, shafts, risers, utility entrances, and major MEP pathways. - Translate engineering sketches, basis-of-design documents, equipment lists, one-line diagrams, and planning documentation into coordinated BIM models. - Support early design activities including test-fit studies, routing evaluations, phasing plans, utility coordination, and design option analysis. - Maintain BIM standards including model organization, file naming conventions, worksets, shared coordinates, view templates, and model health. - Support multidisciplinary coordination using Navisworks, Autodesk Construction Cloud, BIM 360, Revizto, or similar collaboration platforms. - Prepare model views, coordination packages, exports, and documentation for design reviews and stakeholder meetings. - Support model-based quantity takeoffs, equipment tracking, asset information, room data, and design progress reporting. - Review consultant and contractor BIM deliverables for quality, coordination, completeness, and compliance with project BIM standards. - Help maintain digital design assets that support planning, design development, construction coordination, and operational handoff. Discipline Focus Areas CIVIL BIM DESIGNER - Develop site models including grading concepts, access roads, utility corridors, stormwater systems, underground duct banks, and civil infrastructure. - Coordinate civil infrastructure with building footprints, substations, generators, cooling equipment, underground utilities, and site constraints. - Experience with Civil 3D, ArcGIS, Revit Site, and utility modeling is preferred. ELECTRICAL BIM DESIGNER - Develop conceptual and schematic models for substations, switchgear, transformers, generators, UPS systems, cable tray, busway, duct banks, grounding systems, and major power distribution infrastructure. - Coordinate electrical equipment clearances, cable routing, service entrances, and access requirements with architectural, structural, mechanical, and civil disciplines. - Experience with Revit Electrical, AutoCAD, Navisworks, and interpreting one-line diagrams is preferred. MECHANICAL BIM DESIGNER - Develop

About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. Our Communications team’s ethos is to support OpenAI’s mission and goals by clearly and authentically explaining our technology, values, and approach to safely building powerful AI. About the Role OpenAI is seeking an experienced communications professional to join our Platform & Research Communications team. This role will work closely with the Research Communications Lead and partner deeply with safety researchers, alignment researchers, and cross-functional teams to shape how OpenAI’s safety research is understood by researchers, journalists, policymakers, and the broader public. This position is responsible for developing and executing external communications strategies around OpenAI’s safety research—from alignment and evaluations to broader work that helps advance the safe development and deployment of increasingly capable AI systems. The ideal candidate brings strong science or technical fluency, excellent storytelling instincts, and experience helping researchers communicate complex work with clarity, accuracy, and nuance. You will partner closely with research leadership, individual researchers, policy, product, safety, legal, and cross-functional communications teams. This role requires both strategic judgment and hands-on execution in a fast-moving environment where research, public understanding, and high-stakes safety narratives intersect. This role is based in San Francisco, CA and follows a hybrid schedule (three days per week in office). Relocation assistance is available. In this role, you will: Shape Safety Research Narratives Develop clear, credible external narratives around OpenAI’s safety research, including alignment, evaluations, preparedness, interpretability, and other areas connected to the safe development of frontier AI. Translate complex technical work into accessible stories without oversimplifying, overstating impact, or creating unnecessary alarm. Help define and reinforce OpenAI’s POV on key safety research topics and how they connect to OpenAI’s broader research roadmap and mission. Partner Deeply with Researchers Work directly with safety and alignment researchers to understand their work, identify the most important ideas, and help position those ideas publicly. Serve as a communications thought partner to researchers—helping them anticipate questions, clarify implications, and communicate with precision. Build communications plans that help researchers share their work through the right channels, at the right level of depth, and with the right context. Lead Proactive Storytelling & Content Strategy Develop proactive storytelling opportunities across blogs, explainers, video, podcasts, events, and other channels beyond traditional media. Help identify creative ways to elevate safety research and make the work more legible to expert and non-expert audiences. Look across the safety research portfolio to identify broader themes, narrative opportunities, and moments where OpenAI can contribute meaningfully to public understanding. Support Research Launches & Publications Partner with research teams to plan communications for major papers, evaluations, model-related research, safety initiatives, and other technical publications. Collaborate with editorial, design, social, policy, and research teams on blogs, explainers, visuals, briefing materials, and supporting content. Ensure launches are grounded in evidence, appropriately scoped, and aligned with OpenAI’s safety, policy, and communications priorities. Lead Research-Focused Media Engagement. Build and maintain trusted relationships with science, technology, AI, and business journalists who cover frontier AI and safety research. Manage proactive and reactive media engagement related to safety research announcements, papers, collaborations, and emerging narratives. Prepare researchers and executives for interviews, briefings, eve

About the Team: OpenAI's mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. Our API is the industry's most widely adopted AI platform, empowering startups, indie developers, and Fortune 500 companies alike. Through multimodal APIs—spanning real-time interactions, text-to-speech (TTS), speech generation, and image generation—we enable users to harness the full potential of diverse AI modalities effectively and at scale. About the Role: We are seeking an Engineering Manager to lead our multimodal API product suite. Your team will be responsible for delivering innovative APIs across real-time processing, speech transcription, speech generation, and image creation. You will own the product roadmap for how we evolve our multimodal API offerings, and you will build the products that allow developers to reach millions of end users through AI audio, video, and images. In this role, you will: - Build, mentor, and grow a high-performing engineering team focused on multimodal API products – including our realtime API, our transcription models (Whisper), our speech generation models (TTS), and our image generation APIs (DALLE and native 4o). - Collaborate closely with product managers, designers, and other stakeholders to define the strategic vision and product roadmap. - Work closely with our research teams to improve our core multimodal models for API customer use cases. - Guide technical and architectural decisions, emphasizing scalability, robustness, and user experience. - Foster a culture of innovation, continuous improvement, and accountability within your team. Qualifications: - Proven experience managing engineering teams that deliver complex, high-quality products at scale. - Strong technical background and proficiency in modern software engineering practices and system architecture. - Excellent collaboration and communication skills to effectively coordinate across diverse teams and stakeholders. - Familiarity with or strong interest in multimodal AI, including speech technologies, real-time systems, and image generation. - Ability to operate effectively in a fast-paced, ambiguous startup environment. Preferred Qualifications: - Experience developing multimodal systems or APIs in AI/ML domains, especially around image generation, audio generation, or speech transcription. - Familiarity with real-time streaming technologies, audio processing, and computer vision. - Hands-on experience with cloud platforms and distributed architectures. Location: This role is in-person at our San Francisco office. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal h

About the Team The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem. We are dedicated to identifying emerging abuse trends, analyzing risks, and working with our internal and external partners to implement effective mitigation strategies to protect against misuse. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity. The Strategic Intelligence & Analysis (SIA) team provides safety intelligence for OpenAI’s products by monitoring, analyzing, and forecasting real-world abuse, geopolitical risks, and strategic threats. Our work informs safety mitigations, product decisions, and partnerships, ensuring OpenAI’s tools are deployed securely and responsibly across critical sectors. About the Role As a Quantitative Intelligence Analyst, you will focus on discovering novel and emerging risks in complex human–AI systems before they are well-defined, measurable, or widely understood. You will use deep subject matter expertise and quantitative tooling to surface weak, early, and unconventional risk signals. You will build analytic models that explain how harms could emerge and translate ambiguous patterns into structured, data-driven insight. Your work will help identify potential gaps in policy or coverage and operationalize previously unmeasured problems into signals that can support detection, mitigation, and planning downstream. You will develop analytical frameworks that map how new risks form, evolve, and propagate as products change, policies shift, and external events unfold. Your analyses will directly inform strategic risk prioritization and planning across the company, with regular visibility through strategic risk products. This role is based in office (hybrid, 3 days/week). Relocation support is available In this role, you will: - Discover and define new quantitative risk signals where no established metrics exist, using subject matter expertise to surface early, weak, or unconventional indicators - Translate complex trust and safety challenges into measurable signals that can be tracked and stress-tested over time - Develop upstream early-warning and signal frameworks that inform downstream detection and mitigation efforts - Analyze risk trends to assess the underlying drivers and causal factors behind those changes - Conduct data mining and statistical modeling to understand how risks originate, evolve, and propagate across systems - Design adversarial scenarios, and quantitative stress tests to assess exposure, coverage gaps, and vulnerabilities - Produce clear data-driven briefs to support risk prioritization, contingency planning, and strategic risk products across teams You might thrive in this role if you: - Have 3+ years of experience in quantitative intelligence analysis, trust & safety, security analysis, or risk-focused research - Are comfortable working on complex trust and safety domains such as child safety, violent activities, self-harm, or similar high-stakes risk areas - Familiarity with data mining, statistical modeling, and supervised learning methods - Understand how to monitor signals or models for data drift, behavioral adaptation, or performance degradation over time, and can diagnose likely causes - Experience in operationalizing adversarial or strategic risk behaviors, including through red-team exercises, agent-based modeling, or structured scenario analyses - Comfortable working with Python and SQL - Nice to have: Experience with quantitative stress testing or Monte Carlo simulations to assess uncertainty and tail risk About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at it

Overview: The Data Acquisition team within the Foundations organization at OpenAI is responsible for all aspects of data collection to support our model training operations. Our team manages web crawling and GPTBot services and works closely with Data Processing, Architecture, and Scaling teams. We are looking for a skilled Full-Stack Engineer to join our Data Acquisition team to build and optimize the interfaces and tools that power our data infrastructure. RESPONSIBILITIES: - Develop and maintain full-stack applications that support data acquisition, including internal tools and dashboards. - Collaborate closely with cross-functional teams, including Data Processing, Architecture, and Scaling, to ensure seamless data ingestion and workflow management. - Design and implement APIs to facilitate data interactions between internal services and external data sources. - Enhance user experience by developing intuitive web-based interfaces for managing and monitoring data pipelines. - Optimize backend services for performance, scalability, and security in a distributed computing environment. - Work with legal and compliance teams to ensure our data acquisition processes adhere to privacy regulations and best practices. - Deploy and maintain infrastructure using Kubernetes and Infrastructure-as-Code (IaC) methodologies. - Analyze system performance, conduct experiments, and improve data workflows to maximize efficiency. QUALIFICATIONS: - BS/MS/PhD in Computer Science or a related field. - 4+ years of industry experience in full-stack development. - Proficiency in frontend frameworks (React, Vue, or similar) and backend technologies such as Python, Node.js, or Go. - Strong expertise in RESTful APIs, GraphQL, and database design (SQL and NoSQL). - Experience building data-intensive applications that handle large-scale datasets. - Familiarity with cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker). - Prior experience with web crawling and large-scale data processing is a plus. - Strong problem-solving skills and ability to balance multiple tasks in a fast-moving environment. - Excellent communication and collaboration skills. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and mainta

About the Team OpenAI is building the infrastructure foundation for the next generation of AI. The Data Center Engineering team defines the strategy, reference architectures, technical requirements, and delivery standards for the large-scale data centers that support OpenAI research, products, and infrastructure partners. As a Data Center Infrastructure Electrical Engineer, you will help define, validate, and scale the electrical power systems that support high-density AI compute. You will translate evolving compute requirements into practical facility and rack-power architectures, evaluate new technologies and vendor solutions, and drive technical decisions across design, manufacturing validation, construction, commissioning, deployment, and operations. This role is best suited for a senior hands-on engineer with deep experience in mission-critical power systems, strong judgment under ambiguity, and the ability to connect facility infrastructure, hardware requirements, controls, telemetry, reliability, and operations. About the Role We are seeking a senior electrical infrastructure engineer to lead the development of reliable, scalable, and efficient power architectures for high-density, liquid-cooled AI data centers. The ideal candidate has strong practical experience with critical electrical systems at data centers or comparable industrial scale, including medium-voltage and low-voltage distribution, utility interfaces, backup power, UPS and battery systems, rack power delivery, grounding, protection, controls, and monitoring systems. You should be comfortable moving between long-range architecture, detailed engineering review, lab validation, vendor qualification, field deployment, and operational troubleshooting. Key Responsibilities - Design and optimize electrical topologies and equipment strategies that reduce cost, accelerate schedules, improve efficiency, increase scalability, and maintain high reliability and maintainability. - Review and develop basis-of-design documents, single-line diagrams, equipment specifications, commissioning plans, and power system studies including load flow, short circuit, protection coordination, arc flash, and grid transient compliance. - Lead technical evaluation of equipment vendors, manufacturers, design consultants, commissioning agents, contractors, and test labs. Review submittals, schematics, certifications, quality records, and test reports. - Evaluate AC and DC power distribution options for high-density compute, including rectifier architectures, busway, rack power shelves, power supplies, cable management, redundancy strategies, serviceability, and fault isolation. - Partner with mechanical, cooling, controls, hardware, networking, construction, and operations teams to ensure electrical systems support liquid-cooled GPU rack deployments and reliable facility operation. - Drive FAT, SAT, witness testing, burn-in, reliability testing, interoperability testing, and integrated systems testing for critical infrastructure and rack deployments. - Help guide and operate an R&D program to validate new equipment, rack designs, telemetry, operating envelopes, failure scenarios, and facility-to-hardware interactions. - Define telemetry and controls requirements including metering, waveform capture, breaker and relay status, UPS and battery health, generator status, rack power, CDU status, coolant conditions, alarms, and control states. - Analyze lab data, operational incidents, power quality events, nuisance trips, thermal excursions, controls alarms, and rack-level failures to improve designs, procedures, vendor quality, and reliability models. - Create engineering standards, test procedures, commissioning scripts, operating procedures, decision records, risk registers, and concise executive summaries. - Provide senior technical escalation support during design reviews, construction, manufacturing validation, commissioning, energization, deployment, and operational events. - Raise the t

ABOUT THE TEAM The Foundations team focuses on how model behavior changes as we scale models, data, and compute. The team studies the interactions between model architecture, optimization, and training data, and uses those insights to guide how new models are designed and trained. ABOUT THE ROLE In this role, you will build the systems that enable advanced AI models to run efficiently at scale. You will operate at the intersection of model research and systems engineering, translating new architectural ideas into high-performance inference systems that surface real tradeoffs in performance, memory, and scalability. Your work will directly influence how models are designed, evaluated, and iterated on across the research organization. By developing and evolving high-performance inference infrastructure, you will enable researchers to explore new ideas with a clear understanding of their computational and systems implications. This is not a product-serving role. Instead, it is a research-enabling systems role focused on performance, correctness, and realism - ensuring that AI research is grounded in what can actually scale. IN THIS ROLE, YOU WILL: - Design and build high-performance inference runtimes for large-scale AI models, with a focus on efficiency, reliability, and scalability. - Own and optimize core execution paths, including model execution, memory management, batching, and scheduling. - Develop and improve distributed inference across multiple GPUs, including parallelism strategies, communication patterns, and runtime coordination. - Implement and optimize inference-critical operators and kernels informed by real-world workloads. - Partner closely with research teams to ensure new model architectures are supported accurately and efficiently in inference systems. - Diagnose and resolve performance bottlenecks through profiling, benchmarking, and low-level debugging. - Contribute to observability, correctness, and reliability of large-scale AI systems. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have experience building production inference systems, not just training or running models. - Are comfortable with GPU-centric performance engineering, including memory behavior and latency/throughput tradeoffs. - Have worked on multi-GPU or distributed systems involving batching, scheduling, or runtime coordination. - Can reason end-to-end about inference pipelines, from request handling through execution and output streaming. - Are able to understand research ideas and implement them within real system and performance constraints. - Enjoy solving hard, ambiguous systems problems that only emerge at scale. - Prefer hands-on technical ownership and execution over abstract design work. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employer

ABOUT THE TEAM The Human Data team at OpenAI is responsible for identifying and mitigating risks in advanced AI systems by designing evaluations, surfacing vulnerabilities, and collaborating closely with researchers to strengthen model reliability and public trust. ABOUT THE ROLE As a Technical Program Manager, you will lead initiatives that test the safety and robustness of OpenAI’s models through creative experimentation and structured evaluation. You’ll coordinate efforts across research and engineering teams to transform ambiguous risks into concrete research programs and influence future model development and deployment. We’re looking for people who are technically savvy, comfortable with ambiguity, and excited about shaping the future of safe AI. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. IN THIS ROLE, YOU WILL: - Lead programs that explore unexpected model behaviors and identify failure modes. - Translate vague or emergent risk signals into clear priorities and actionable research plans. - Design and run creative evaluations, experiments, and red-teaming campaigns. - Collaborate with research, product, and deployment teams to integrate findings into model training and deployment cycles. - Develop repeatable systems for tracking model performance and understanding emerging behavior patterns. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have strong experience in technical program management, with excellent organizational and communication skills. - Are familiar with large language models, prompt engineering, or model evaluation techniques. - Are comfortable managing fast-paced, high-uncertainty projects and shaping them from the ground up. - Are creative and resourceful in devising new methods for testing model behavior and performance. - Can effectively coordinate across technical and non-technical stakeholders to drive alignment and execution. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security ob

ABOUT THE TEAM Preparedness is a critical Safety Research team at OpenAI, which is focused on mitigating AI threats to global security https://openai.com/index/updating-our-preparedness-framework/ that could scale to an extreme level of severity. Our work involves: 1. Measurement. Monitoring and predicting the evolving capabilities of frontier AI systems. 2. Mitigation. Keeping misuse safeguards, alignment tools, and security measures on track to adequately address extreme threats that might arise in the future. 3. Coordination. Setting mitigation targets by maintaining OpenAI’s preparedness framework https://openai.com/index/updating-our-preparedness-framework/, and partnering with other staff to achieve these targets. This is urgent, fast-paced work that has far-reaching implications for the company and for society. ABOUT THE ROLE As AI agents become more capable at software engineering, and automate more of our internal work, they could become a dangerous cyber threat. People in this role will help OpenAI prepare for security threats from advanced AI agent insiders. IN THIS ROLE, YOU WILL: - Identify paths by which capable future internal AI agents could compromise OpenAI. - Design security controls - focusing on measures with long lead times that benefit from advanced preparation. - Stress-test defenses with AI agent evaluations and penetration tests YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Are deeply technical across security and modern infrastructure, and are comfortable digging into the details of operating systems, cloud, containers, CI/CD, or distributed systems. - Have strong software engineering skills and enjoy building prototypes yourself. - Are interested in engaging with stakeholders and can do so effectively. - Bonus: have experience securing cloud infrastructure, and are deeply familiar with core components of the AI stack. Compensation Range: $293K - $405K USD About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-complia

About the Team The Youth Well-Being product team is part of the Integrity pillar at OpenAI, responsible for ensuring that our state-of-the-art AI technologies are deployed in safe, age-appropriate, and beneficial ways—especially for youth and families. We work across OpenAI’s entire product surface area, from ChatGPT to future-facing tools, to architect safety and trust into the foundation of our systems. Our mission: empower families while meeting the highest standards of regulatory compliance and ethical responsibility. This work is core to OpenAI’s mission to ensure AGI benefits all of humanity. Safety, especially for the most vulnerable users, is more important to us than unfettered growth. About the Role We’re looking for a Senior Software Engineer to help architect and build the foundational systems that power family- and youth-facing experiences at scale. You’ll help define how teens and guardians engage with OpenAI products—ensuring those experiences are safe, compliant, and empowering. You’ll operate across a broad technical surface: building identity primitives, age assurance pipelines, and guardian tools that support both proactive and reactive interventions. You’ll collaborate closely with a cross-functional team of engineers, data scientists, designers, user researchers, and policy experts. This is a high-impact, 0→1 opportunity to set the standard for how families interact with generative AI. In this role, you will: - Architect and implement teen and guardian experiences across OpenAI products, including ChatGPT. - Build global age assurance systems that are privacy-preserving and tailored to regional compliance needs. - Design and evolve our identity infrastructure to support scalable, secure, and resilient user journeys at consumer internet scale. - Help define safety and well-being metrics, and continuously improve user trust through technical interventions. You might thrive in this role if you: - Have built products or infrastructure for users under 18, or have a strong interest in digital safety, youth well-being, or educational technology. - Have hands-on experience with identity platforms, auth/authz systems, or user verification at scale. - Have worked on systems with regulatory complexity (e.g., COPPA, GDPR-K, UK OSA, KOSA) or experience navigating legal constraints in product development. - Are comfortable owning complex, ambiguous problems end-to-end, learning quickly, and adapting to fast-changing priorities. Can thrive in a cross-functional team, with strong collaboration across policy, research, legal, and product functions. - Care deeply about building systems that are not just performant, but also inclusive, thoughtful, and ethical. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the Calif

About the Team OpenAI's Research Data Team exists to accelerate the evaluation, safety and capabilities of our models and products. Made up of technical operators and software engineers, we design the methods in which we acquire and create data. About the Role As a Technical Program Manager (TPM), Data Acquisition, you will partner with research, engineering, and operations to design and implement pragmatic solutions for acquiring data. You will be a key interface between our research roadmap and external data offerings. This role is based in our San Francisco HQ and will be part of a team of TPMs pushing the frontier of data acquisition. In this role, you will: - Partner deeply with research: Work with researchers to scope data needs, define success criteria, and translate priorities into clear execution plans. - Shape the data acquisition pipeline: Identify, evaluate, and advance high impact data opportunities - balancing research value, feasibility, quality, and responsible execution. - Unblock yourself: Move work forward even when the path is unclear — using technical judgement, creative problem solving, and scrappy execution to make progress while longer-term solutions are still forming. - Build lightweight systems and visibility: Use SQL, Python, dashboards, and simple tooling to track performance, quality, and blockers. - Drive technical roadmaps: Collaborate with engineers to enhance data platforms, resolve blockers, and ensure security best practices such as access management. - Scale your impact: Equip vendors and internal teams with the context, standards, and operating rhythms needed to focus on the most important problems. You’ll thrive in this role if you: - Are proficient in SQL and Python for analysing datasets, querying databases, building dashboards, and generating actionable insights. - Are comfortable using APIs, automation, and AI tools such as Codex to accelerate workflows, remove manual overhead, and upskill quickly in unfamiliar technical areas.Experience sourcing, evaluating, or working with startups, founder and vendors - Are excited to understand the technicalities of cutting-edge AI research and work alongside researchers from instantiation to launch. - Can move fluidly between research context, commercial execution, and data operations. - Want to get your hands dirty; grit and creative problem solving will be required daily - Learn technical concepts exceptionally quickly, seeking out knowledge to become proficient in areas that are new to you - Operate with high horsepower, are adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthless prioritization - Thrive in dynamic environments and can navigate ambiguity with ease About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Ch

About the Team The GTM (Go-To-Market) Innovation team is an internal powerhouse revolutionizing how we engage customers through groundbreaking applications of our technology. As an incubator, we amplify the impact of Sales, Technical Success, Enablement, and Revenue Operations by deploying our technology at scale. This team applies advanced capabilities to real-world interactions — reshaping conversations with customers, learning from every exchange, and finding novel ways to show the value of our technology. About the Role We’re looking for product mindset software engineers to join the GTM Innovation team. As a product engineer on this team, you’ll help OpenAI meet the world at scale. You’ll partner closely with go-to-market teams to understand their workflows, identify leverage points, and ship novel solutions using OpenAI’s API platform. You’ll move quickly from prototype to production, and your work will directly shape how customers experience our technology in the field. This role is ideal for engineers who want to be close to users, own end-to-end outcomes, and help define entirely new categories of enterprise software. In this role, you will: - Build high-impact applications and tools that accelerate OpenAI’s go-to-market efforts - Work across the full product lifecycle for GTM: prototype, iterate, ship, and maintain - Embed with Sales, Technical Success, and Revenue Operations to identify user needs and build for them - Apply OpenAI’s models in novel ways to solve real-world customer and internal workflow problems - Translate learnings into feedback for Applied and Research teams to inform product development You’ll thrive in this role if you: - Have 4+ years of experience as a software/ML/product engineer working on user-facing systems - Former founder, or early engineer at a startup who built a product from scratch is a plus - Are fluent in Python or JavaScript and comfortable building full-stack applications - Have built or prototyped LLM-powered workflows using the OpenAI API (or similar) - Take initiative, move quickly, and operate with a strong sense of ownership - Enjoy working closely with end users and shaping 0→1 products - Are collaborative, curious, and motivated to make an outsized impact at the frontier of AI About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data

ABOUT THE TEAM OpenAI's Training team is responsible for producing the large language models that power our research, our products, and ultimately bring us closer to AGI. Achieving this goal requires combining deep research into improving our current architecture and optimization techniques, alongside long-term bets aimed at improving the efficiency and capability of future generations of models. We are responsible for integrating these techniques and producing model artifacts used by the rest of the company, and ensuring that these models are world-class in every respect. ABOUT THE ROLE As a member of the training team, you will push the frontier of LLM development for OpenAI's flagship models, enhancing intelligence, efficiency, and adding new capabilities. Relevant interests may include areas such as architecture design, long-context and efficient attention, optimization and the science of scaling. Ideal candidates have a deep understanding of LLM architectures, a sophisticated understanding of model inference, and a hands-on empirical approach. A good fit for this role will be equally happy coming up with a creative breakthrough, investing in strengthening a baseline, designing an eval, debugging a thorny regression, or tracking down a bottleneck. This role is based in London. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. IN THIS ROLE, YOU WILL: - Design, prototype and scale up new architectures to improve model intelligence - Execute and analyze experiments autonomously and collaboratively - Study, debug, and optimize both model performance and computational performance - Contribute to training and inference infrastructure YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have experience landing contributions to major LLM training runs - Can thoroughly evaluate and improve deep learning architectures in a self-directed fashion - Are motivated by safely deploying LLMs in the real world - Are well-versed in the state of the art transformer modifications for efficiency WORKPLACE & LOCATION: This role is based in our London office, and we aren’t considering applications to work remotely at this time. If you're joining us in person, we offer relocation support and follow a hybrid schedule: three days a week in the office, with the option to work from home on Thursdays and Fridays. Our offices are set up for focus and connection—with adjustable desks, phone booths, conference rooms, stocked kitchens, and cozy spots to unwind or catch up with teammates. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adv

About the Team OpenAI is building the infrastructure foundation for the next generation of AI. The Data Center Engineering team defines the strategy, reference architectures, technical requirements, and delivery standards for the large-scale data centers that support OpenAI research, products, and infrastructure partners. As a Data Center Infrastructure Mechanical Engineer, you will help design, validate, and scale the cooling and mechanical systems that make high-density AI compute possible. You will work across thermal architecture, equipment development, manufacturing validation, construction, commissioning, deployment, and operations, partnering with research, hardware engineering, data center engineering, supply chain, EHS, operations, and external delivery partners. About The Role We are seeking a senior mechanical infrastructure engineer to lead the development of reliable, efficient, safe, and scalable thermal architectures for high-density, liquid-cooled AI data centers. This role is ideal for someone who can translate evolving compute and rack-level thermal requirements into practical infrastructure designs, evaluate complex equipment and vendor solutions, and drive technical decisions across facilities, hardware, controls, telemetry, testing, commissioning, and operations. The ideal candidate has deep hands-on experience with mission-critical mechanical systems at data center or comparable critical infrastructure scale, including chilled water plants, condenser water systems, cooling towers, dry coolers, pumps, heat exchangers, CDUs, manifolds, CRAHs, air handlers, filtration, water treatment, controls, liquid distribution, and high-density rack cooling interfaces. Key Responsibilities - Define mechanical and cooling infrastructure requirements and reference architectures for AI data center campuses, including heat rejection, chilled water, condenser water, liquid cooling distribution, air handling, containment, filtration, water treatment, controls, and metering. - Review and develop basis-of-design documents, design narratives, P&IDs, mechanical schedules, equipment specifications, thermal capacity models, hydraulic models, CFD analysis, controls sequences, and commissioning requirements. - Evaluate mechanical architectures for high-density compute, including direct-to-chip liquid cooling, CDU topology, facility water interfaces, manifolds, quick disconnects, hoses, heat exchangers, pumping strategies, leak detection, serviceability, and failure isolation. - Partner with electrical, controls, hardware, networking, construction, and operations teams to ensure cooling systems support liquid-cooled GPU rack deployments and reliable facility operation. - Develop technical specifications and acceptance criteria for chillers, cooling towers, dry coolers, evaporative coolers, pumps, heat exchangers, CDUs, manifolds, valves, filters, water treatment systems, CRAHs, air handlers, VFDs, controls panels, sensors, and monitoring devices. - Lead technical evaluation of equipment vendors, manufacturers, design consultants, commissioning agents, contractors, and testing laboratories; review submittals, P&IDs, control diagrams, performance curves, test reports, certifications, and quality documentation. - Drive factory acceptance testing, site acceptance testing, witness testing, pressure testing, leak testing, thermal performance testing, reliability testing, interoperability testing, and integrated systems testing for critical equipment and high-density rack deployments. - Help design and operate a hardware and data center infrastructure R&D laboratory used to validate new cooling equipment, liquid-cooled GPU rack designs, operating envelopes, fault scenarios, telemetry, and facility-hardware interactions. - Collaborate with hardware manufacturers to evaluate L10 and L11 test procedures, yield, throughput, reliability, serviceability, and readiness for large-scale deployment. - Define telemetry and controls requirements for mec

ABOUT THE TEAM The Agent Post-Training team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proactive intelligence that can operate computers, collaborate with people and other agents, and expand what people and organizations can imagine, attempt, and achieve. We define what the next generation of agents should be able to do, build the training signal that teaches those abilities, and run the experiments that make them real. Our work spans coding, tool use, computer use, multi-agent coordination, long-horizon execution, factuality, instruction following, calibrated reasoning, and taste. Our team is where new model capabilities get made. We build the data, environments, graders, training methods, and feedback loops that shape what OpenAI's next agents can do, then carry those capabilities through major training runs and into the products people use. ABOUT THE ROLE As a member of Agent Post-Training, Computer Use, you will teach models to operate computers. You will help train models that can navigate browsers and desktops, use tools and applications, reason through complex workflows, collaborate with users and other agents, and complete long-horizon tasks with reliability and judgment. This work sits at the intersection of frontier model training, product behavior, evaluation, and systems engineering, and will directly shape the computer-use capabilities shipped in OpenAI’s next generation of agents. Currently, our models are the best in the world at this behavior! You will work with researchers, engineers, product teams, infrastructure teams, and safety/alignment partners to decide what should go into major model runs, measure whether it worked, and ship improvements into products used by real people. This is a high-agency role for people who want their work to land directly in frontier models. IN THIS ROLE, YOU MIGHT - Design and run experiments that improve agentic model behavior for complex computer use https://openai.com/index/codex-for-almost-everything/, including desktop and browser. - Own end-to-end improvements to the post-training stack, including RL, data pipelines, graders, reward signals, evals, diagnostics, and model-behavior analysis. - Build evals and environments that expose the next set of model failures, then turn those failures into training data, product fixes, or new research directions. - Partner with Codex and ChatGPT product teams to understand what users need and translate product signal into model improvements. - Work on early-training and alignment interventions, including data mixtures, objectives, synthetic data, and eval loops that shape downstream agent behavior. - Help decide which integrations, capabilities, and fixes are ready for inclusion in major model runs. - Improve the machinery for large-scale training and launch: experiment velocity, reliability, observability, reproducibility, cost, latency, and production readiness. - Take on cross-functional projects that touch model training, product infrastructure, and the production agent harness, such as multi-agent systems or training directly against production-like environments. - Debug hard failures in shipped or near-shipped models and turn messy qualitative behavior into concrete hypotheses, experiments, and fixes. YOU MIGHT THRIVE IN THIS ROLE IF YOU - Have strong technical fundamentals in machine learning, software engineering, systems, statistics, or a related field, and can learn quickly across the parts you have not worked in before. - Have hands-on experience with LLMs, RL, RLHF/RLAIF, post-training, evals, graders, synthetic data, model training, coding agents, tool-using agents, or production ML systems. - Are excited by open-ended problems where the path is unclear, the signal is noisy, and the right answer requires both research taste and engineering execution. - Care about product impact and model behavior, n

ABOUT THE TEAM The Synthetic RL team develops reinforcement learning methods that leverage synthetic data, environments, and feedback to train and evaluate frontier AI models. The team explores approaches such as self-play, simulators, and other synthetic evaluations to push model capability, generalization, and alignment beyond what is possible with the current prevailing methodology. ABOUT THE ROLE As a Research Scientist on the Synthetic RL team, you will develop novel reinforcement learning techniques that use synthetic environments and feedback to improve large-scale models. You’ll work closely with other researchers to design experiments, analyze learning dynamics, and translate research insights into training approaches used in production systems. We’re looking for researchers who enjoy working on open-ended problems, value fast iteration, and want their work to directly shape how frontier models are trained. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. IN THIS ROLE, YOU WILL: - Research and develop reinforcement learning algorithms - Design and run experiments to study training dynamics and model behavior at scale - Collaborate with engineers and researchers to integrate successful approaches into model training pipelines YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have a strong background in reinforcement learning, machine learning research, or related fields - Have strong engineering and statistical analysis skills - Enjoy exploring new problem spaces where data, objectives, and evaluation are imperfect or evolving - Are motivated by seeing research ideas influence real-world AI systems About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compl

ABOUT THE TEAM The Alignment Oversight team at OpenAI develops techniques for improving control, accountability, and alignment as AI systems become more capable and agentic. We combine longer-horizon research with hands-on deployment. We study long-term questions about how increasingly intelligent systems can be supervised, constrained, and corrected, while also building oversight systems that are used in practice today, both internally and externally (see our recent work on code review https://alignment.openai.com/scaling-code-verification/ and action monitoring for codex https://alignment.openai.com/auto-review/). We also study how to learn from real-world deployments: using oversight data and human interventions to train future models to be more aligned, while preserving the effectiveness and independence of the oversight systems themselves. ABOUT THE ROLE As a researcher on the Alignment team, you will design and run experiments that improve our ability to oversee increasingly capable models. You will work on hands-on model training, evaluation design, and research infrastructure, and translating promising oversight ideas into systems that can operate on real model traffic and real user workflows. This role combines longer-horizon research with shorter deployment sprints, with projects typically scoped around 3-6 month research timelines and aimed at directly improving future model behavior. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. IN THIS ROLE, YOU WILL: - Design and implement alignment experiments focused on oversight systems for increasingly agentic AI models. - Deploy practical systems for action monitoring, red-teaming, and human-in-the-loop control. - Develop evaluations for alignment failure modes of the frontier models such as overeagerness, instruction following failures, covert actions, avoiding restrictions and scheming propensity. - Analyze deployment data to understand model failures, oversight gaps, and opportunities for training more aligned models. - Develop techniques for feeding oversight signals back into training while preserving the reliability and independence of the oversight process. - Produce externally publishable research when results advance the broader science of alignment. - Collaborate across research, product, security, safety, and engineering teams to turn alignment ideas into working systems. - Move quickly from research intuition to working experiments, prototypes, and evidence that can shape future models. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have strong hands-on experience training, evaluating, or debugging large ML models, especially LLMs. - Have experience with reinforcement learning, post-training, preference optimization, scalable oversight, model evaluation, or adjacent empirical ML research. - Have strong engineering execution and can turn ambiguous research ideas into reliable experiments, tools, training pipelines, and production-facing systems. - Have research intuitions for what experiments are likely to teach us something, while staying grounded in implementation details and empirical results. - Are a team player - willing to do a variety of tasks that move the team forward. - Enjoy fast-paced, collaborative research environments where priorities shift as models and evidence change. - See safety and usefulness as coupled goals. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal oppor

About the Team The Codex team is responsible for building state-of-the-art AI systems that can write code, reason about software, and act as intelligent agents for developers and non-developers alike. Our mission is to push the frontier of code generation and agentic reasoning, and deploy these capabilities in real-world products such as ChatGPT and the API, as well as in next-generation tools specifically designed for agentic coding. We operate across research, engineering, product, and infrastructure—owning the full lifecycle of experimentation, deployment, and iteration on novel coding capabilities. About the Role As a Performance & Systems Engineer on the Codex team, you will be responsible for whole-system optimization across a complex, evolving stack. Codex spans LLM inference, cloud orchestration, agentic work management, and multiple product surfaces. Your job will be to identify and land high-leverage changes—across infrastructure, modeling, and product layers—that make Codex agents significantly faster and cheaper to serve. We’re looking for generalists who thrive in ambiguity and love chasing performance bottlenecks to ground. This is a high-ownership role where your work will directly improve the experience of millions of users. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Hunt down and address inefficiencies across the Codex system stack, from agent behavior to LLM inference to container orchestration, and beyond. - Build tooling to measure, profile, and optimize system performance at scale. - Collaborate with researchers and engineers to land high-ROI changes that improve latency and cost. You might thrive in this role if you: - Have experience operating across both ML systems and cloud infrastructure. - Enjoy diving into messy, ambiguous problems and emerging with clear wins. - Think holistically about performance, balancing speed, cost, and user experience. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected informa

About the Team OpenAI’s AI Deployment Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Enterprise AI Deployment Engineer, you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in our SF or NYC office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria. - Design, build, and deploy AI systems that solve important customer problems and produce measurable business outcomes. - Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators. - Make sound technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance. - Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers toward resolution. - Help customers progress from promising prototypes to reliable production systems, sustained adoption, and scaled impact. - Partner closely with customer engineering teams and OpenAI Product, Research, Engineering, Security, and go-to-market teams, translating deployment experience into high-signal product feedback. - Create reusable architectures, tooling, playbooks, and technical guidance that accelerate future enterprise deployments. You’ll thrive in this role if you: - Have a demonstrated track record of designing, building, and delivering AI or machine-learning systems in enterprise environments, including taking systems from prototype to production. Relevant backgrounds may include applied AI or ML engineering, forward-deployed engineering, software engineering, customer engineering, solutions architecture, or technical consulting. - Can point to substantial personal contributions in code, architecture, evaluation, debugging, or production engineering—not only program or stakeholder management. - Are highly proficient in Python and comfortable working across an AI application stack; experience with JavaScript, TypeScript, or another relevant language is valuable. - Understand how to evaluate AI systems systematically using representative data, graders, production signals, and human judgment. - Have navigated enterprise production requirements such as integrations, reliability, observability, security, privacy, data governan

ABOUT THE TEAM The Safety Systems team https://openai.com/safety/safety-systems is responsible for various safety work to ensure our best models can be safely deployed to the real world to benefit the society and is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency. The Model Safety Research team aims to fundamentally advance our capabilities for precisely implementing robust, safe behavior in AI models, and to leverage these advances to make OpenAI’s deployed models safe and beneficial. This requires a breadth of new ML research to address the growing set of safety challenges as AI becomes more powerful and used in more settings. Key focus areas include how to enforce nuanced safety policies without trading off helpfulness and capabilities, how to make the model robust to adversaries, how to address privacy and security risks, and how to make the model trustworthy in safety-critical domains. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. ABOUT THE ROLE OpenAI is seeking a senior researcher with passion for AI safety and experience in safety research. Your role will set directions for research to enable and empower safe AGI and work on research projects to make our AI systems safer, more aligned and more robust to adversarial or malicious use cases. You will play a critical role in shaping how a safe AI system should look like in the future at OpenAI, making a significant impact on our mission to build and deploy safe AGI. IN THIS ROLE, YOU WILL: - Conduct state-of-the-art research on AI safety topics such as RLHF, adversarial training, robustness, and more. - Implement new methods in OpenAI’s core model training and launch safety improvements in OpenAI’s products. - Set the research directions and strategies to make our AI systems safer, more aligned and more robust. - Coordinate and collaborate with cross-functional teams, including T&S, legal, policy and other research teams, to ensure that our products meet the highest safety standards. - Actively evaluate and understand the safety of our models and systems, identifying areas of risk and proposing mitigation strategies. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Are excited about OpenAI’s mission https://openai.com/mission/ of building safe, universally beneficial AGI and are aligned with OpenAI’s charter https://openai.com/charter/ - Demonstrate a passion for AI safety and making cutting-edge AI models safer for real-world use. - Bring 4+ years of experience in the field of AI safety, especially in areas like RLHF, adversarial training, robustness, fairness & biases. - Hold a Ph.D. or other degree in computer science, machine learning, or a related field. - Possess experience in safety work for AI model deployment - Have an in-depth understanding of deep learning research and/or strong engineering skills. - Are a team player who enjoys collaborative work environments. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-

About The Team Our mission is to bring OpenAI products to life for every customer. Demo Experience equips customer-facing teams with the experiences, systems, and confidence to make frontier capabilities tangible, relevant, and trustworthy. OpenAI’s products and customer needs are evolving rapidly. Demo Experience closes the gap between a frontier capability and a credible customer experience—making new capabilities understandable, demonstrable, and reusable quickly at scale. Working across Product, Engineering, Marketing, Operations, and GTM, we turn recurring customer needs into reusable capabilities and raise the standard for every customer conversation. About The Role Demo Experience Engineers work at the intersection of product engineering, technical storytelling, and GTM execution. You will own ambiguous, high-leverage problems end to end—from building agentic prototypes to creating the infrastructure and self-service tools that make them reliable and reusable. Your work will help customer-facing teams move faster, reduce avoidable failures, and translate frontier product capabilities into clear customer value. You will also turn recurring patterns from customer-facing work into product feedback, launch-readiness improvements, and scalable systems. Success in this role means teams can demonstrate new capabilities sooner and with greater confidence. Recurring requests become reusable capabilities instead of one-off work. Demo experiences are accurate, reliable, and safe. Insights from customer-facing work improve product and readiness decisions. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In This Role, You Will - Own end-to-end demo readiness for new and priority product capabilities, including environments, integrations, synthetic data, evaluations, reliability checks, and fallback paths. - Build compelling prototypes, LLM agents, and reference flows that make complex capabilities tangible and connect them to clear customer outcomes. - Convert recurring needs into reusable accelerators—including companion apps, templates, LLM Skills and Plugins, and self-service demo packages—that scale across customer-facing teams. - Work alongside GTM partners on high-impact customer moments, unblock critical technical gaps, and identify the patterns that should scale. - Build always-on internal agentic systems that automate demo preparation, validation, and asset maintenance for the Demo Experience team. - Translate recurring feedback into product insights, launch-readiness priorities, and systemic improvements with Product and Engineering. - Define and raise the bar for demo quality across accuracy, safety, reliability, usability, and adoption. You’ll Thrive In This Role If You - Care deeply about creating exceptional demo experiences and helping customer-facing teams translate OpenAI’s product value into customer understanding, trust, and action. - Are a product-minded engineer who can move from an ambiguous capability to working software and then harden it into a reliable, reusable system. - Have a track record of building compelling demos, reusable technical assets, or tooling that accelerates adoption and improves execution. - Understand when a customer needs a bespoke solution and when it should become a shared platform capability. - Bring strong engineering depth across software architectures, integrations, data, LLM agents, skills, plugins, or other AI-powered systems. - Thrive in rapidly evolving, ambiguous environments and influence effectively across Product, Engineering, Marketing, Operations, and GTM through curiosity, humility, and strong judgment. - Maintain a strong commitment to AI safety, responsible deployment, and representing OpenAI’s products accurately and credibly. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of

About the Team: Our Safety Systems https://openai.com/safety/safety-systems org ensures that OpenAI’s most capable models can be responsibly developed and deployed. We build evaluations, safeguards, and safety frameworks that help our models behave as intended in real-world settings. About the Role: We are seeking a Researcher in Privacy-Preserving Safety to help design and build the next generation of privacy-preserving safety systems for frontier AI models. This role sits at the intersection of AI safety, security, and privacy, with a focus on developing auditable, privacy-first mechanisms that enable robust harm detection and mitigation without exposing sensitive user data. You will help define and operationalize frameworks for identifying and addressing frontier risks (e.g., bioweapon instructions, malware creation, suicide/self-harm risks, jailbreaks), while ensuring that privacy guarantees remain intact—even under adversarial conditions. This role is central to our long-term goal of scaling our automated privacy-preserving safety systems to mitigate potential harms while minimizing human review. You’ll work on foundational problems such as privacy-preserving monitoring, algorithmic auditing, secure enclaves, and adversarially robust safety enforcement protocols, helping ensure that safety systems scale without compromising user trust. In this role, you will: - Design and implement privacy-first architectures for detecting and mitigating harmful model behaviors. - Build frameworks for auditable private identification of high-risk content (jailbreaks, cyber threats, or weaponization instructions). - Develop strict, auditable mechanisms triggered only by harm signals. - Drive the development of automated safety systems that preserve privacy at every level. You might thrive in this role if you: - Are a researcher with deep interest in privacy, security, and AI safety, motivated by building systems that are both trustworthy and effective at scale. - Hold a PhD or equivalent experience in Computer Science, Cryptography, Security, Machine Learning, or related fields - Have the ability to translate ambiguous problem spaces into formal frameworks and deployable systems - Demonstrate profiency in one or more of: - Privacy-preserving computation (e.g., secure enclaves, MPC, differential privacy) - Security and adversarial systems - Machine learning safety or alignment - Experience designing robust systems under adversarial threat models - Have experience with AI safety, jailbreak detection, or model alignment - Are familiar with privacy-preserving machine learning techniques, algorithmic auditing and/or secure system design About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidat

About the Team The Strategic Initiatives & Operations team is in need of a Technical Program Manager (TPM) to streamline our processes, including full safety governance and integration of various safety research and mitigations into our ChatGPT, API, and any frontier models. This role is critical for driving safe deployment of our new models, synthesizing inputs from multiple stakeholders, ranging across research, product, engineering, legal and policy, and ensuring all the risks are effectively and properly monitored, mitigated or resolved. About the Role As a TPM, you will be responsible for critical tasks ranging from tracking safety research progress and risk tables to overseeing the quality of human data campaigns – acting as the connective tissue to enhance the deployment of OpenAI’s safety system. Additionally, you will create and execute a compute roadmap for your team to ensure that our top priorities are resourced while taking advantage of new opportunities to make key safety research discoveries. Your primary focus will be to ensure our models are qualified for safe deployment. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Manage key risk areas and corresponding stakeholders. - Keep track of a stack of existing and future mitigations for every major product and model deployment. - Standardize the lifecycle of risk assessment, setting safety bars, consolidating inputs from multiple stakeholders across research, product, engineering, legal and policy, pre-launch safety reviews and post-launch followup. - Manage pre-launch safety reviews. - Share launch calendars and key safety practices and evaluations with our key parter (i.e. Microsoft). - Develop comprehensive documentation for all the safety work, including metrics, evaluations, and progress tracking across multiple teams within OpenAI. - Help with publishing and open sourcing safety learnings, standards, datasets and benchmarks with the public. You might thrive in this role if you: - Possess an advanced degree in a hard science, with a PhD being advantageous, or a demonstrated track record of engineering expertise. - Have an extensive track record of successfully delivering high-profile, complex technical projects against tight deadlines. - Are technically adept, and have effectively partnered with engineering and fundamental research teams of the highest caliber. - Expertise in designing and implementing simple, scalable processes that solve complex problems. - Are relentlessly resourceful and thrive in ambiguous, fast-paced environments. - Strong knowledge of content integrity and moderation, including industry best practices and regulatory guidelines. - Exceptional written and verbal communication skills. - Care about AGI safety. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered f

About the Team Business Systems / Enterprise Platform Technology builds the internal systems, data foundations, workflow infrastructure, and enterprise platforms that help OpenAI operate at scale. The EPT AI Pod builds AI-native internal apps, MCP connectors, multi-agent workflows, and reusable platform capabilities across Finance, People, and GTM. About the Role As an Enterprise Applied AI Engineer, you will build internal apps for enterprise operations and the shared platform components those apps run on. This includes MCP connectors, multi-agent orchestration, data architecture, evals, monitoring, auditability, and governance. We’re looking for a hands-on engineer who is strong in Python, system design, enterprise integrations, data architecture, and applied AI systems. You should be excited to turn ambiguous business workflows into reliable internal products and shared infrastructure. In this role, you will: • Build internal apps for enterprise operations across Finance, People, and GTM • Build MCP connectors and enterprise integrations with strong auth, permissions, idempotency, retries, and rate-limit handling • Design end-to-end multi-agent workflows with tool routing, human approvals, audit trails, and safe action boundaries • Design data architecture for operational AI systems, including ingestion, schemas, quality checks, lineage, and governance • Build evals, monitoring, metrics, and regression tests for agentic workflows • Create reusable infrastructure, patterns, and components that other enterprise teams can build on • Partner with system owners and business owners to turn messy enterprise workflows into reliable internal products You might thrive in this role if you: • Have strong Python engineering skills for backend services, MCP connectors, agent/tool workflows, eval harnesses, and data ingestion jobs • Have strong system design skills across shared infrastructure, app architecture, reliability, and scaling • Have experience building internal apps, backend services, APIs, workflow systems, or integration platforms • Understand enterprise systems, including controls, approvals, auditability, compliance, and permissions • Have practical AI systems experience with RAG, evals, monitoring, MCP/tool use, structured outputs, or multi-agent workflows • Have strong data architecture fundamentals, including ingestion, modeling, quality, lineage, and governance • Communicate clearly with technical stakeholders, system owners, and business owners • Take high ownership in ambiguous, cross-functional environments About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have

About the Team OpenAI’s Platform and Infrastructure Engineering organization advances the mission of deploying artificial general intelligence (AGI) for the benefit of all by delivering secure, scalable, and resilient technology solutions. Our team builds and maintains robust infrastructure that safeguards OpenAI’s data and systems while ensuring employees are well-equipped and seamlessly connected. By prioritizing security, reliability, and user-centric solutions, we empower OpenAI employees to drive impactful AI research, corporate operations, and product innovation. About the Role As a Software Engineer: Internal Applications, Enterprise, you will build internal products that make technology support and administration safer, faster, and less dependent on manual intervention. You will help reduce reliance on broadly privileged human actions, turn recurring technology problems into paved paths, and build agentic systems that can help resolve tickets end to end. A core part of the role is building the interfaces that bring employees, AI agents, and human responders together in a shared ITSM experience, with the right context, controls, and handoffs at each step. We are seeking engineers who enjoy working across frontend and backend layers on ambiguous, high-leverage enterprise problems. You should bring strong product judgment, solid backend engineering fundamentals, and an interest in building software that changes how technology support, system administration, and agent-assisted operations are delivered. The best fit will care as much about the quality of the operator and employee experience as the correctness of the backend systems behind it. In this role, you will: - Build frontend experiences that let employees request help, let agents gather context and take safe actions, and let human responders review, approve, or take over without losing the thread. - Reduce reliance on broadly privileged manual actions by replacing them with narrow, auditable, policy-aware automation. - Turn recurring technology support and administration problems into paved-path processes that can be completed consistently and, where appropriate, without a human in the loop. - Build agentic solutions that can understand tickets, gather context, execute safe actions, and escalate intelligently when automation is not enough. - Improve ITSM experiences across intake, routing, execution, handoff, and auditability. - Create reusable tools, APIs, and execution primitives that agents and operators can use safely across enterprise systems. - Design internal applications that pair strong frontend usability with robust backend systems, especially for complex operational tasks. - Partner closely with IT, Security, and business teams to identify where software can remove friction, reduce risk, and improve operational leverage. - Work with IAM and Security partners to ensure internal applications align with Zero Trust principles, RBAC expectations, and compliance needs. - Build backend foundations that support secure products across identity, ITSM, ticketing, and service integrations. - Strengthen monitoring, observability, and incident readiness for the systems behind these experiences. - Manage multiple initiatives while maintaining a high bar for usability, implementation quality, and operational follow-through. You may be right for this role if you have: - Strong experience building production software across both frontend and backend layers, with particular strength in modern frontend development. - Experience designing interfaces for complex operational products, internal tools, or case-management systems. - A track record of turning ambiguous operational problems into clear, usable products or systems. - Solid backend engineering fundamentals in API design, data modeling, integrations, and system reliability. - Experience building internal platforms, support tooling, automation systems, or operational products. - Interest in agentic systems, ITSM, enterpr

About the role We’re looking for an engineering manager to lead a team building software systems that detect and prevent harmful misuse of frontier AI models—before incidents occur. This is a builder’s role: you’ll lead engineers shipping production services, detection pipelines, and mitigation mechanisms that protect frontier model integrity and reduce high-severity misuse risk. While this work intersects with frontier model development, security and risk, we’re explicitly seeking someone with a software engineering foundation who is comfortable building reliable systems that can operate at billions of users scale. In this role you will: - Lead a team of software engineers building detection + mitigation systems for frontier model misuse, with an emphasis on model IP protection / distillation detection and emerging risk surfaces from autonomous agents. - Set the technical roadmap and execution strategy: prioritize, design, ship, iterate, measure impact. - Build production systems: services, pipelines, tooling, instrumentation, and automation that scale with frontier model usage. - Partner deeply with Research and Product to translate evolving model capabilities into concrete tests, signals, and mitigations that can be deployed at scale. - Drive strong engineering fundamentals: architecture, reliability, monitoring, performance, and operational excellence. - Hire and grow an exceptional team across backend, data systems, and applied ML engineering domains as needed. - Anticipate what breaks at scale as agentic workflows become more capable. You might thrive in this role if you: - Experience building systems in adversarial, fast-evolving environments - Are comfortable with ambiguity and novelty - Have experience adjacent to security (e.g., abuse prevention, fraud, integrity, platform defense, auth/identity, malware/spam, adversarial environments) - Communicate clearly and build trust quickly with senior stakeholders—pragmatic, collaborative, and calm under scrutiny. - Significant experience leading engineering teams and delivering production systems end-to-end. - Strong technical judgment in system design, distributed systems, data pipelines, observability, and operational reliability. - Demonstrated ability to partner cross-functionally with Research/Product/Security to ship systems that materially reduce risk or abuse at scale. - Familiarity with model extraction / distillation, adversarial evaluation, or scalable detection/mitigation approaches. - Background in autonomy, high-scale real-time systems, or intelligence-adjacent technical domains is a plus. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably

About the Team The GTM (Go-To-Market) Innovation team is an internal powerhouse revolutionizing how we engage customers through groundbreaking applications of our technology. As an incubator, we amplify the impact of Sales, Technical Success, Enablement, and Revenue Operations by deploying our technology at scale. This team applies advanced capabilities to real-world interactions — reshaping conversations with customers, learning from every exchange, and finding novel ways to show the value of our technology. About the Role We’re looking for backend software engineers with a product mindset to join the GTM Innovation team. You’ll help OpenAI meet the world at scale. You’ll partner closely with go-to-market teams to understand their workflows, identify leverage points, and ship novel solutions using OpenAI’s API platform. You’ll move quickly from prototype to production, and your work will directly shape how customers experience our technology in the field. This role is ideal for engineers who want to be close to users, own end-to-end outcomes, and help define entirely new categories of enterprise software. In this role, you will: - Build high-impact applications and tools that accelerate OpenAI’s go-to-market efforts - Work across the full product lifecycle for GTM: prototype, iterate, ship, and maintain - Embed with Sales, Technical Success, and Revenue Operations to identify user needs and build for them - Apply OpenAI’s models in novel ways to solve real-world customer and internal workflow problems - Translate learnings into feedback for Applied and Research teams to inform product development You’ll thrive in this role if you: - Have 4+ years of experience as a software/ML/product engineer working on user-facing systems - Former founder, or early engineer at a startup who built a product from scratch is a plus - Are fluent in Python or JavaScript and comfortable building full-stack applications - Have built or prototyped LLM-powered workflows using the OpenAI API (or similar) - Take initiative, move quickly, and operate with a strong sense of ownership - Enjoy working closely with end users and shaping 0→1 products - Are collaborative, curious, and motivated to make an outsized impact at the frontier of AI About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) u

About the Team The Developer Experience team at OpenAI has a singular focus: empowering developers globally. Our mission is to provide every developer and startup on the planet with the most delightful and seamless experience to integrate AI into their applications and products. We ensure developers have the tools, resources, and support they need to unlock AI’s full potential. We create inspiring demos, developer tools, sample applications, and technical content that show developers how to build with Codex and frontier models like GPT-5.5 and GPT-Image-2 to create powerful agents and AI-native applications. We collaborate closely with product, engineering, research, and GTM teams to ensure the developer journey, from onboarding with Codex to first API call to production deployment, is seamless, effective, and delightful. About the Role As a Developer Experience Engineer, you will create compelling technical content, developer tools, and sample applications designed to inspire developers and enable them to succeed with Codex and OpenAI’s APIs and products for developers. You will engage with developers and technical founders, demonstrating best practices and building innovative applications powered by frontier models, multimodal capabilities, and tools like Codex. We’re looking for people who combine strong technical skills, creativity, and a passion for engaging with and empowering developers. In this role, you will: - Develop demos and sample applications that showcase best practices for building with Codex, frontier models, multimodal capabilities, and agents. - Create high-quality technical content—including tutorials, blog posts, videos, and code samples—to educate and inspire the developer community about our models, APIs, and Codex. - Actively engage with and foster a vibrant local and global developer ecosystem around OpenAI’s platform and products. - Represent OpenAI at developer events and online, serving as a knowledgeable and approachable advocate for developers. - Gather and synthesize developer feedback to inform and improve our product roadmap. - Collaborate cross-functionally with product, engineering, and marketing teams to drive adoption and success across OpenAI’s developer products, including Codex and our APIs. - Contribute directly to improving and refining OpenAI’s developer products, interfaces, and surfaces. - Own challenges end-to-end, proactively closing gaps and developing new skills to solve complex problems. You might thrive in this role if you: - Are passionate about crafting exceptional developer experiences and creating inspirational technical content and projects. - Bring a robust full-stack engineering background with demonstrated experience building innovative applications using AI and large language models (LLMs). - Have strong user empathy and care deeply about delivering experiences developers truly appreciate. - Have a proven track record of successfully creating engaging technical content, compelling demos, or innovative developer tooling that accelerates technology adoption. - Find joy in coding, continuously shipping high-quality, impactful software. - Excel in dynamic environments characterized by rapidly evolving priorities, ambiguity, and competing deadlines. - Are an exceptional collaborator who thrives working cross-functionally and enjoys partnering with diverse teams. - Maintain a genuine commitment to AI ethics and safety, strongly aligning with OpenAI's responsible AI development principles. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that for

About the Team OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI. About the Role As an Engineer on our hardware optimization and co-design team, you will co-design future hardware from different vendors for programmability and performance. You will work with our kernel, compiler and machine learning engineers to understand their unique needs related to ML techniques, algorithms, numerical approximations, programming expressivity, and compiler optimizations. You will evangelize these constraints with various vendors to develop and influence future hardware architectures towards efficient training and inference on our models. If you are excited about efficiently distributing a large language model across devices, dealing with and optimizing system-wide/rack-wide networking bottlenecks and eventually tailoring the compute pipe and memory hierarchy of the hardware platform, simulating workloads at different abstractions and working closely with our partners, this is the perfect opportunity! This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Key Responsibilities - Co-design future hardware for programmability and performance with our hardware vendors - Assist hardware vendors in developing optimal kernels and add support for it in our compiler - Develop performance estimates for critical kernels for different hardware configurations and drive decisions on compute core and memory hierarchy features - Build system performance models at different abstraction levels and carry out analysis to drive decisions on scale up, scale out, front end networking - Work with machine learning engineers, kernel engineers and compiler developers to understand their vision and needs from high performance accelerators - Manage communication and coordination with internal and external partners - Influence the roadmap of hardware partners to optimize them for OpenAI’s workloads. - Evaluate potential partners’ accelerators and platforms. - As the scope of the role and team grows, understand and influence roadmaps for hardware partners for our datacenter networks, racks, and buildings. Qualifications - 4+ years of industry experience, including experience harnessing compute at scale and optimizing ML platform code to run efficiently on target hardware. - Strong experience in software/hardware co-design - Deep understanding of GPU and/or other AI accelerators - Experience with CUDA, Triton or a related accelerator programming language - Experience driving Machine Learning accuracy with low precision formats - Experience with system performance modeling and analysis to optimize ML model deployment - Strong coding skills in C/C++ and Python - Are familiar with the fundamentals of deep learning computing and chip architecture/microarchitecture. - Able to actively collaborate with ML engineers, kernel writers, compiler developers, system engineers, chip architects/microarchitects Preferred Skills - PhD in Computer Science and Engineering with a specialization in Computer Architecture, Parallel Computing. Compilers or other Systems - Strong understanding of LLMs and challenges related to their training and inference About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world

About the Team The Privacy Team at OpenAI is committed to building a secure and trustworthy platform. Our area of responsibility encompasses all OpenAI products and systems that process user data. We provide cross-functional partners with the tools needed to ensure that all products adhere to the highest standards of data privacy and legal compliance. Our approach to prioritizing responsible data use is integral to OpenAI's mission of safely introducing Artificial General Intelligence (AGI) that offers widespread benefits. About the Role We’re in search of a Software Engineer with experience building data pipelines and working closely with members of the Legal team. This role is perfect for someone who's passionate about the intersection of systems, privacy, and legal compliance. You will architect, design, and write backend systems responsible for handling some of the most sensitive data at OpenAI. This role is based in Dublin, Ireland. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Design, build, and maintain back-end systems and services that power privacy and data compliance functions within our API products and consumer applications. - Work closely with legal advisors and other engineers to respond to court orders and other legal processes, all while upholding strict data privacy and legal standards. - Identify opportunities for automation and build the tools that enable other teams to automate tasks involving customer data. - Develop and implement data handling policies and procedures in compliance with legal and ethical standards, ensuring the integrity and confidentiality of user data. You might thrive in this role if you: - Have experience building data pipelines, especially for legal processes and investigative workflows. - Can translate legal requirements into technical solutions and explain technical solutions to a non-technical audience. - Take responsibility for problems from beginning to end, and are prepared to acquire any missing knowledge necessary to get the job done. - Create tools to speed up your own and your colleagues’ workflows, particularly when pre-existing solutions are inadequate. - Deeply care about user experience and take pride in developing products that meet customer needs while ensuring privacy. - Have a background in security investigations or experience working in collaboration with trust and safety, legal, and engineering teams. Compensation, Benefits and Perks This is a position with OpenAI Ireland Ltd., which controls the hiring and management of this position. Total compensation includes an annual salary, generous equity, and benefits. - Medical, dental, and vision insurance for you and your family - Mental health and wellness support - PRSA plan with 6% employer matching - Unlimited time off - Annual learning & development stipend (€1,400 per year) About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants w

About the Team The RL and Reasoning team drives the core reasoning paradigm and has created groundbreaking innovations such as o1 and o3. They focus on pushing the boundaries of reinforcement learning research, building next-generation generative models, and deploying them at scale. About the Role As a Research Engineer/Research Scientist at OpenAI, you will advance the frontier of AI alignment and capabilities through cutting-edge RL methods. Your work will sit at the heart of training intelligent, aligned, and general-purpose agents, including the systems that power various models. We’re looking for people who have a background in reinforcement learning research, are able to iterate quickly, and are proficient at coding. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. You might thrive in this role if: - You love being on the cutting edge of RL and language model research. - You’re a self-starter who takes initiative and ownership of ideas, driving them to completion. - You value principled approaches, simple experiments in tightly-controlled settings, and reaching trustworthy conclusions which stand the test of time. - You thrive in a fast-paced, dynamic, and technically complex environment where rapid iteration is key. - You’re comfortable diving into a large ML codebase to debug and improve it. - You have a deep understanding of machine learning and machine learning applications. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global

ABOUT THE TEAM The CoT Monitorability team at OpenAI studies whether and when the chain-of-thought of frontier reasoning models is monitorable enough to support scalable oversight. We study how to measure monitorability https://openai.com/index/evaluating-chain-of-thought-monitorability/, which training mechanisms affect monitorability, and speculative methods to improve monitorability. While we mostly focus on CoT monitorability at the moment, we care more generally about any form of monitorability, auditing methods, and improving alignment. We were the first to show https://openai.com/index/chain-of-thought-monitoring/ that chain-of-thought monitoring can be a practical additional safety mechanism, and today our monitoring systems are actively used on OpenAI’s largest RL training runs to detect misbehavior. The issues we surface are then used to help improve our reward functions, environments, etc (without directly training against a CoT monitor). Our work sits in Alignment and intersects with model training, alignment evaluations, monitoring, and frontier-risk research.We care most about monitorability where the stakes are high, and about preserving useful oversight signals as models become more capable. ABOUT THE ROLE We’re looking for a researcher with strong empirical ML expertise and a deep interest in model behavior, alignment, or interpretability. Direct chain-of-thought interpretability experience is welcome but not required; strong candidates may come from broader interpretability, alignment, model training, or investigative model-behavior work. As a researcher on the Alignment team, you will design and run experiments that improve our understanding of model monitorability. You will investigate how training interventions across the model-development pipeline influence whether reasoning remains legible, build evaluations that make those questions measurable, and help translate findings into practical oversight and training recommendations. You may also help develop new monitoring models or methods and apply them to OpenAI’s largest training runs. This role is especially well suited for someone who can move from an ambiguous model-behavior question to a concrete experimental setup: formulate the hypothesis, build the evaluation or intervention, run the experiment, analyze the result, and decide what the evidence supports. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. IN THIS ROLE, YOU WILL: - Design and run empirical studies of chain-of-thought monitorability across frontier reasoning models and training settings. - Build evaluations that measure whether monitors can reliably predict properties of interest, including high-stakes forms of misbehavior. - Investigate how pre-training, synthetic data, mid-training, post-training, reinforcement learning, and other interventions improve or degrade monitorability. - Analyze model behavior and turn observations from monitoring into hypotheses, experiments, and recommendations. - Translate research findings into practical monitoring and oversight approaches that can inform real training runs. - Collaborate with researchers and engineers across model training, alignment evaluations, monitoring, and frontier-risk work. - Produce externally publishable research when results advance the broader science of alignment. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have strong hands-on experience training, evaluating, or debugging large ML models, especially LLMs. - Have deep curiosity, interest in alignment, and high agency. - Bring depth in alignment, interpretability, model behavior, empirical ML, or adjacent research. - Are excited to investigate chain-of-thought monitorability, monitoring methods, and scalable oversight. - Can turn ambiguous research questions into measurable experiments and follow the evidence when results are subtle or noisy. - Move comfortably between research id

About the Team We believe that increasing compute is a huge lever to AI progress. The Hardware team owns the design and/or sourcing of the compute, storage and interconnect hardware needed to build OpenAI’s supercomputers at the scale needed to deliver AGI that is beneficial to humanity. This includes: - Optimizing the processing hardware for AI models - Designing memory systems to keep up with the needs of training and inference - Enabling the scale-up and scale-out interconnect fabrics create the world’s most power supercomputers We work at the very cutting edge of speed and scale. You won’t encounter another organization with as much compute per employee. We are a small team that moves quickly, with access to huge resources, working with a direct impact on the success of OpenAI and, by extension, the field of AI as a whole. About the Role As a Hardware Chips Programs Manager at OpenAI, you will help bring our chips hardware roadmap to life, navigating an array of technical and partnership challenges. We’re looking for people excited to push the frontiers of computing by navigating technical explorations and are passionate about building. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. "To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations." In this role, you will: - Manage the design and implementation planning of our ML acceleration hardware, working across technical, cross-functional and external stakeholders - Lead planning and scheduling of chip hardware designs with our strategic partners and vendors - Coordinate and marshal internal resources and communication for efficient interaction with partners and vendors. You might thrive in this role if you: - Have experience as a technical program manager for data center hardware products (server, GPU, TPU, networking, storage and so on) - Know the whole end-to-end system program management from concept, design, production, deployment into the data center - Have some experience with System SW programs through NPI - Want to help design some of the world’s largest supercomputing systems, working at the edge of complex hardware challenges - Enjoy working with and enabling world-class AI Researchers and Engineers - Are passionate about the technical program function, and enjoy independently owning and delivering on your teams’ goals and cutting-edge problems in AI compute About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that crim

ABOUT THE TEAM The Agent Post-Training team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proactive intelligence that can operate computers, collaborate with people and other agents, and expand what people and organizations can imagine, attempt, and achieve. We define what the next generation of agents should be able to do, build the training signal that teaches those abilities, and run the experiments that make them real. Our work spans coding, tool use, computer use, multi-agent coordination, long-horizon execution, factuality, instruction following, calibrated reasoning, and taste. Our team is where new model capabilities get made. We build the data, environments, graders, training methods, and feedback loops that shape what OpenAI's next agents can do, then carry those capabilities through major training runs and into the products people use. ABOUT THE ROLE We believe that the final enabler for AGI is spending compute on context. As a Context Researcher on Agent Post-Training, you will scale compute spent on context. You will get to work in our frontier training stack on enabling the next paradigm of model training with a clear product interface for iterative deployment (Codex Chronicle). You will work with researchers, engineers, product teams, infrastructure teams, and safety/alignment partners to decide what should go into major model runs, measure whether it worked, and ship improvements into products used by real people. This is a high-agency role for people who want their work to land directly in frontier models. IN THIS ROLE, YOU MIGHT - Design and run experiments that improve scaling of compute on context. - Own end-to-end improvements to the post-training stack, including RL, data pipelines, graders, reward signals, evals, diagnostics, and model-behavior analysis. - Build evals and environments that expose the next set of model failures, then turn those failures into training data, product fixes, or new research directions. - Partner with Codex and ChatGPT product teams to understand what users need and translate product signal into model improvements. - Work on early-training and alignment interventions, including data mixtures, objectives, synthetic data, and eval loops that shape downstream agent behavior. - Help decide which integrations, capabilities, and fixes are ready for inclusion in major model runs. - Improve the machinery for large-scale training and launch: experiment velocity, reliability, observability, reproducibility, cost, latency, and production readiness. - Take on cross-functional projects that touch model training, product infrastructure, and the production agent harness, such as multi-agent systems or training directly against production-like environments. - Debug hard failures in shipped or near-shipped models and turn messy qualitative behavior into concrete hypotheses, experiments, and fixes. YOU MIGHT THRIVE IN THIS ROLE IF YOU - Have strong technical fundamentals in machine learning, software engineering, systems, statistics, or a related field, and can learn quickly across the parts you have not worked in before. - Have hands-on experience with LLMs, RL, RLHF/RLAIF, post-training, evals, graders, synthetic data, model training, coding agents, tool-using agents, or production ML systems. - Are excited by open-ended problems where the path is unclear, the signal is noisy, and the right answer requires both research taste and engineering execution. - Care about product impact and model behavior, not just benchmark movement. You have opinions about what makes an agent useful, reliable, honest, tasteful, and easy to work with. - Can move from a vague behavioral problem to a concrete experiment: define the hypothesis, build the pipeline, run the model, analyze the result, and decide what to do next. - Are comfortable working across research, product, infrastructure, data

ABOUT THE TEAM We’re hiring a Developer Productivity engineer to support OpenAI’s Inference Runtime teams. These teams own the systems responsible for serving models reliably, efficiently, and safely across Codex, ChatGPT, API, and internal research workloads. We’re hiring a Developer Productivity Engineer to help scale the engineering systems, safeguards, and developer workflows that enable our teams to move quickly without compromising reliability or performance. This role sits at the intersection of developer experience, CI/CD infrastructure, release engineering, production readiness, and inference systems reliability. You’ll work on the tooling and operational foundations that support model launches, inference optimizations, cloud provider integrations, and large-scale deployments across a rapidly evolving inference stack. ABOUT THE ROLE We’re looking for an autonomous, high-ownership engineer who cares deeply about making other engineers faster, safer, and more confident. A major focus of this role will be improving the tooling and infrastructure around deploy gates for inference engine images. These systems help ensure that every image released to production and research is correct, numerically sound, free of regressions, and performant across key metrics like time-to-first-token (TTFT) and time-between-tokens (TBT). You’ll help harden the systems that catch issues before they reach production, reduce noise from flaky or infrastructure-related test failures, and improve automation around triage, ownership, debugging, and escalation when failures occur. You’ll also work on improving observability, rollout safety, release automation, and developer self-service tooling across a rapidly evolving inference stack. This is not generic internal tools work. The systems you build directly impact OpenAI’s ability to support new model launches, safely ship inference optimizations to the world, onboard new infrastructure providers, and operate one of the largest and most performance-sensitive inference platforms in the world. In this role, you will: - Improve systems that ensure inference engine releases are correct, performant, and regression-free by evolving tooling and infrastructure for deploy gate validation - Bring rigor to release, validation, branching, and deployment processes across the inference stack - Improve canary, async, and large-scale validation workflows for inference systems - Harden CI, testing, and validation infrastructure so failures are actionable and trustworthy - Reduce noisy or flaky failures caused by infrastructure instability, GPU scheduling, or test environment issues - Build automation for failure triage, ownership detection, debugging, and escalation - Partner closely with inference teams, research developer productivity, engine acceleration, and infrastructure teams to improve release quality and rollout safety - Reduce developer friction in testing, debugging, and release workflows so engineers can move faster with confidence YOU MIGHT THRIVE IN THIS ROLE IF: - You have strong experience with CI/CD systems, testing infrastructure, release tooling, developer productivity, or large-scale build and validation systems - You are excited by high-impact infrastructure where small regressions in correctness, latency, or reliability meaningfully affect production systems - You care about building systems engineers can trust, not just systems that technically function - You have strong developer empathy and enjoy improving workflows, reducing friction, and making engineers more effective - You demonstrate high ownership and proactively identify problems, drive improvements, and follow issues through resolution - You are comfortable working in Python-heavy environments and debugging complex distributed systems - You enjoy building automation that reduces manual triage, improves signal quality, and scales operational effectiveness - You are comfortable operating in ambiguous areas without a fully predefined ro

About the team The AI Deployment Engineering team works closely with frontier startups. We are trusted advisors to, and thought partners with, startups to ensure that OpenAI’s technology is deployed safely and effectively, whilst also partnering with engineering, research, and product to turn those insights into evaluation systems, product improvements, and better model behavior. This team sits at the intersection of customer reality and model quality. We combine hands-on technical depth with strong product judgment, helping translate complex, high-value use cases into clear signals that can improve both the customer experience and the underlying systems. About the role We are seeking a technically proficient, product-minded engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, helping them optimize their own systems and turning those learnings into durable improvements across OpenAI’s research and products. You will partner deeply on complex workflows, identify the gaps that matter, and help transform those gaps into reproducible evaluations, technical insights - helping shape OpenAI's research and product direction. This role is well suited to engineers who are equally comfortable debugging a workflow, iterating on prompts or agents, designing evaluations, and collaborating across research and product. You should be excited by ambiguous, high-impact problems and motivated by the opportunity to shape how advanced AI systems improve in practice. This role is based in Stockholm. In this role, you will: - Work directly with strategic startup customers to understand critical workflows, uncover failure modes, and identify high-impact opportunities for improvement. - Prototype and iterate on prompts, agents, and workflow designs to better understand system behavior and unlock customer value. - Synthesize and deliver valuable feedback to the Product and Research teams, turning real usage patterns into clear, reproducible evals, benchmarks, and technical artifacts that improve model and product quality and ensure customer-grounded learnings influence roadmap and model development. - Build repeatable tools, patterns, and evaluation approaches that raise the quality bar across multiple use cases. - Operate with strong judgment in ambiguous environments, balancing immediate technical problem-solving with longer-term system improvement. - Build relationships within the startup ecosystem, serving as a technical partner to both individual customers and the broader community. You’ll thrive in this role if you: - Have strong software engineering & AI fundamentals. For example, experience as a startup CTO, software engineer, ML engineer, Data Scientist or equivalent. Experience shipping production systems end-to-end is a strong plus. - Have experience as a technical founder, or engineer at an early stage startup - Have familiarity with, or interest in, model training pipelines and reinforcement learning. - Have experience building AI applications, agents, or evaluation systems, and can reason clearly about model behavior in complex workflows. - Are comfortable working directly with highly technical users and translating their challenges into concrete technical signals. - Can move fluidly between prototyping, debugging, evaluation design, and cross-functional collaboration. - Communicate clearly across technical and non-technical audiences. - Bring high agency, strong product sense, and a bias toward building durable improvements rather than one-off fixes. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mi

About the Team Our Safety Systems https://openai.com/safety/safety-systems team is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency. Within Safety Systems, the Model Policy team aligns model behavior with desired human values and norms. We co-design policy with models and for models by driving rapid policy taxonomy iteration based on data and defining evaluation criteria for foundational models’ ability to reason about safety. About the Role Frontier AI systems are rapidly expanding what is possible in cybersecurity and software engineering. These capabilities create major defensive opportunities, but they also raise serious dual-use and misuse risks across areas such as malware development, exploit discovery, vulnerability chaining, credential abuse, cyber intrusion, and autonomous offensive operations. In this role, you will help define how OpenAI’s models should behave in high-risk cybersecurity contexts. You will develop policy frameworks, threat models, taxonomies, evaluations, and behavioral specifications that guide model behavior across training, deployment, and monitoring systems. This role sits at the intersection of cybersecurity, AI safety, threat modeling, evaluation science, and policy implementation. You will work closely with research, engineering, safety training, preparedness, and product teams to build policies that are technically grounded, measurable, enforceable, and responsive to real-world cyber risk. Your Responsibilities: - Design and maintain model policies for cybersecurity and frontier-risk domains, especially dual-use and high-risk cyber capabilities. - Translate cybersecurity threat models into clear behavioral specifications, evaluation criteria, grading guidance, and system-level mitigations. - Define practical boundaries between legitimate security research, defensive workflows, and assistance that could materially enable harmful activity. - Build policy artifacts that support implementation across training, evaluation, deployment, monitoring, and escalation systems. - Partner with safety researchers, engineers, and evaluation teams to operationalize policies into scalable model behavior and measurable safeguards. - Analyze red-teaming results, deployment data, model failures, over-refusals, and ambiguous edge cases to improve policy and evaluation quality over time. - Identify emerging cyber capability areas where advanced AI systems could lower barriers to misuse or increase operational capability for malicious actors. - Contribute to system cards, safety reports, policy documentation, and external communications on OpenAI’s approach to cyber risk mitigation. We’re Seeking: - Strong technical expertise in cybersecurity, such as offensive security, defensive security, vulnerability research, malware analysis, incident response, threat intelligence, application security, exploit development, infrastructure security, or cloud security. - Strong judgment about how AI systems may affect the cyber threat landscape, including dual-use, autonomous, or agentic system risks. - Ability to distinguish between legitimate security use cases and assistance that could materially enable harmful cyber activity. - Experience building or applying threat models to complex technical systems, especially in adversarial or high-risk environments. - Ability to translate technical security expertise into structured policy frameworks, evaluation criteria, operational guidance, and enforcement mechanisms. - Comfort using empirical evidence, including evaluations, red-teaming results, deployment observations, and model failure modes, to inform policy decisions. - Strong systems thinking across policy, evaluations, classifiers, training, deployment safeguards, measurement, and monitoring. - Ability to work cross-functionally with researchers, engineers, product teams, policy experts, and operational stakeholders. - Stro

ABOUT THE TEAM The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem. We are dedicated to identifying emerging abuse trends, analyzing risks, and working with our internal and external partners to implement effective mitigation strategies to protect against misuse. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity. The Strategic Intelligence & Analysis (SIA) team provides safety intelligence for OpenAI’s products by monitoring, analyzing, and forecasting real-world abuse, geopolitical risks, and strategic threats. Our work informs safety mitigations, product decisions, and partnerships, ensuring OpenAI’s tools are deployed securely and responsibly across critical sectors. ABOUT THE ROLE As an Agentic Risk Analyst, you will shape OpenAI’s operating picture for current agentic risk across products and platforms. You will bring a strategic, system-level perspective to current risks, connecting individual incidents, technical findings, abuse patterns, and external developments to relevant workstreams, mitigations, owners, dependencies, and residual gaps. You will analyze how risks emerge through autonomy, multi-step task execution, tool use, memory, retrieval, connectors, computer-use capabilities, and multi-agent workflows, with a particular focus on both adversarial misuse and unintended system behavior. By synthesizing signals from investigations, evaluations, red teaming, security reviews, product launches, external research, and real-world incidents, you will maintain a current view of material risks and evolving threat patterns. Your work will help turn complex and often ambiguous signals into coordinated decisions and measurable follow-through across product, safety, security, policy, and governance teams. You will work closely with investigators, engineers, product, policy, safety, and security teams, and measurement and forecasting experts who lead longer-horizon risk discovery and scenario work to maintain a shared operating picture of current risks, mitigation priorities, owners, and dependencies. This is an opportunity to help shape how OpenAI coordinates decisions and follow-through across the evolving risk landscape of increasingly capable agentic systems, ensuring that safety decisions keep pace with rapidly advancing technology. IN THIS ROLE, YOU WILL: - Build and maintain a current, company-wide portfolio of material agentic risks across OpenAI’s products, platforms, and emerging capabilities, mapping each risk to relevant workstreams, owners, mitigations, dependencies, decisions, and residual gaps. - Run a cross-functional intake and review cadence for signals from across OpenAI and the broader ecosystem to identify emerging risks, evolving threat patterns, and important shifts in the agentic risk landscape, routing findings to the right owners and decision-makers - Connect individual incidents, technical findings, evaluations, and weak signals to broader system-level trends, producing clear assessments of impact, severity, evidence, uncertainty, priority, and recommended action. - Assess how emerging capabilities, product changes, ecosystem developments, and adversary adaptation may affect current risk priorities and launch readiness, surfacing risks that are unowned, stalled, or under-mitigated for decision and escalation, and tracking residual risk after launch. - In partnership with colleagues who lead horizon scanning, use relevant external developments across AI safety and security research, public incidents, adversarial activity, industry standards, emerging technologies, and competitor products, as inputs to current risk prioritization and mitigation decisions at OpenAI. - Apply and refine practical frameworks and taxonomies for current agentic failure modes, control gaps, abuse patterns, and potential downstream harms across products, deployment environments, and user workflows,

About The Team The Alignment Training team studies how frontier models acquire durable behavioral tendencies across the training stack. We work on identifying which behaviors can be shaped through pre-training, mid-training, and post-training; building the data, objectives, and evaluations needed to influence them; and determining whether the resulting behavior reflects a general learned tendency or a narrow artifact of the training distribution. Our work spans synthetic data, pre-training, mid-training, post-training, model behavior, and evaluation. We study how models learn to interpret intent, follow instructions, reason through tasks, express uncertainty, act honestly, and remain reliable under new conditions. The goal is to make desirable tendencies emerge early, strengthen throughout training, and appear robustly in deployed systems. About The Role We’re looking for a senior researcher with exceptional technical depth in large-scale model training, synthetic data, or evaluation who is excited to study how training choices shape aligned behavior in frontier models. You will help shape the research agenda for alignment training: defining the behaviors we want models to learn, designing data and training interventions to teach them, and building the evaluation loops needed to tell whether those behaviors are broad, robust, and durable. The strongest candidates will be able to move from an ambiguous behavioral question to a concrete experimental program: formulate the hypothesis, design the intervention, build the pipeline, run the experiment, and decide whether the result is real. This role is especially well suited for someone who wants to work close to the core model training loop, where choices about data, objectives, and evaluation directly shape how aligned deployed systems are. In this role, you'll: - Develop synthetic data methods that teach models higher-level behavioral tendencies, such as understanding user intent, following instructions reliably, reasoning clearly, being honest, and acting consistently with intended goals and constraints. - Study how pre-training, mid-training, and post-training each shape downstream model behavior, and which interventions are best applied at which stage. - Build evaluation loops that connect model behavior back to training data and training objectives, so the team can iterate faster and with clearer signal. - Design reusable data generation and filtering pipelines that improve the quality, diversity, and robustness of training data. - Create experiments that distinguish durable learned behavior from benchmark gains, distribution-specific effects, or evaluation artifacts. - Collaborate across pre-training, post-training, alignment, and product-facing teams to translate research insights into better model behavior. - Help define the research agenda for alignment training: which behaviors should remain invariant across settings, which should adapt, and how to measure whether models have learned an underlying principle rather than a surface pattern. You might thrive in this role if you: - Have a strong record of technically excellent work in large-scale ML, especially in pre-training, post-training, synthetic data, model evaluation, or training infrastructure. - Are comfortable designing experiments where the signal is subtle, noisy, or indirect. - Can move between research taste and engineering execution: forming hypotheses, building pipelines, running experiments, analyzing results, and turning findings into the next iteration. - Have unusually good judgment about which research questions are worth pursuing and which signals are strong enough to trust. - Care about making models more useful, honest, steerable, and reliable for real users. - Are excited by alignment problems, even if you have not worked in alignment before. - Communicate clearly across research, engineering, and product contexts. - Prefer practical, evidence-driven work grounded in experiments. About OpenAI OpenAI

About The Team The Data Understanding team is responsible for creating the high quality datasets and their quantized representation for OpenAI. This includes synthesizing data, building VQ representations, and processing, filtering, deduplication, quality control, and tokenization so it can be used effectively in big model training runs. About The Role We're looking to advance how OpenAI builds and understands pretraining data at scale. You'll treat data quality and curation as core research problems: developing new methods to select, combine, and transform data; creating datasets that improve model capabilities; and designing rigorous experiments to understand how data choices and interventions affect model learning and downstream behavior. You'll work closely with frontier models and web-scale data to build evidence for which approaches work and why, then translate successful research into scalable data processing pipelines We Expect You To - Have a strong track record of new or improved ML ideas, through publications, projects, or applied research. - Own and drive a research agenda, from choosing the right problems to carrying long-running work through to impact. - Be excited by OpenAI’s empirical, collaborative approach to research. Nice To Have - Thoughtfulness about AI’s impact, including privacy, provenance, and data quality. - Experience building high-performance deep learning or large-scale data processing systems. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/globa

About the Team The ChatGPT Model Capabilities and Deployment team unified goal is to transform model advancements into great ChatGPT user experiences through reliable serving, rapid experimentation, safe deployment, and continuous improvement. Team Focus Areas - Model Experimentation: - Enable rapid, safe model validation for ChatGPT and Codex products through experiment automation and lifecycle management. - Model Deployment: - Ensure safe, scalable deployment of model capabilities with robust rollout and operational tooling. - Automate capacity management and incorporate platform-wide health monitors. - Model Measurement: - Build comprehensive evaluation and measurement systems for model quality, from user signals to launch scorecards. - Improve end-to-end feedback loops for continual model improvement. Key Partnerships Collaborate cross-functionally with teams including Model Measurement DS, Research, Codex, Fleet, Inference, and API. In this role, you will: - Elevate and consolidate ChatGPT’s harness, context management, and system prompt frameworks. - Drive expansion and improvement of multi-tier model experiences. - Support and scale self-serve experiment capabilities and automated guardrails. - Lead model rollout automation, capacity management, and health monitoring. - Shape end-to-end measurement systems (evals, grader signals, user feedback, etc.). You might thrive in this role if you have: - Proven experience leading engineering teams in complex, cross-functional environments. - Demonstrated success shipping production systems at scale (ideally for AI or large backend services). - Deep understanding of model-driven product development, deployment lifecycle, and measurement tooling. - Excellent communication and collaboration skills—experience interfacing directly with engineering, research, and product stakeholders. - Prior involvement with large language models, distributed infrastructure, or experimentation platforms is a plus. Why Work With Us - Tackle highly impactful technical challenges at the cutting edge of AI. - Collaborate with world-class researchers, engineers, and product leaders. - Build infrastructure and experiences used by millions. - Shape the future of how people interact with AI. If you’re passionate about advancing AI reliability, safety, and user impact at a global scale, we encourage you to apply! About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted t

About the Team At OpenAI, we’re building the connective tissue between our mission and our people. People Innovation Labs is a fast-moving engineering team embedded in the People organization, focused on rethinking how we find and retain the best talent and empower everyone to do their best work. From recruiting to culture, we’re designing systems that give our People Team a significant edge by infusing OpenAI’s models and first-principles thinking into every aspect of our work. Our projects range from greenfield 0-1 products like OpenHouse (our internal knowledge hub) to AI-powered automations and scalable recruiting tools. We’re defining the future of work at OpenAI, creating a blueprint for how AI can supercharge productivity, culture, and innovation. About the Role We are looking for a self-starter engineer who loves building new products in an iterative and fast-moving environment. This team is for full stack product engineers who are deeply curious about culture, recruiting and people development, and want to know everything from the business strategy and metrics down through the code that gets us there. In this role, you will work with members of the People Team and leaders across the company to build software focused on HR, culture and recruiting from the ground up. You’ll also innovate on how we apply LLMs in these domains. In this role, you will: - Own the full product development lifecycle for new people products end-to-end - Talk to internal stakeholders to understand their problems and design solutions to address them - Work with the research team to share relevant feedback and iterate on applying their latest models - Collaborate with a cross-functional team of engineers, HRBPs, recruiters, researchers, product managers, designers, and people in operations to create cutting-edge products Your background might look something like: - 4+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companies - Former founder, or early engineer at a startup who built a product from scratch is a plus - Interest in building company culture and/or recruiting the world’s most talented people - Proficiency with JavaScript, React, and other web technologies - Proficiency with a backend language (we use Python) - Some experience with relational databases like Postgres/MySQL - Interest in AI/ML (direct experience not required) - Ability to move quickly in an environment with loosely defined tasks and competing priorities or deadlines About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative

ABOUT THE TEAM Preparedness is a critical Safety Research team at OpenAI, which is focused on mitigating AI threats https://openai.com/index/updating-our-preparedness-framework/ that could scale to an extreme level of severity. Our work involves: - Tracking and prediction. Monitoring https://openai.com/index/how-we-monitor-internal-coding-agents-misalignment/ and predicting the evolving misalignment propensities and capabilities of frontier AI systems. - Mitigation. Keeping misuse safeguards, alignment tools, and security measures on track to adequately address extreme threats that might arise in the future. - Coordination. Setting mitigation targets by maintaining OpenAI’s preparedness framework, and partnering with other staff to achieve these targets. This is urgent, fast-paced work that has far-reaching implications for the company and for society. ABOUT THE ROLE As a threat modeler, you will own OpenAI’s holistic approach to identifying, modeling, and forecasting frontier risks from frontier AI systems. This role ensures that our evaluation frameworks, safeguards, and taxonomies are robust, high-coverage, and forward-looking. You will help the company answer the “why” behind our most stringent risk-prevention efforts, shaping the rationale for prioritizing and mitigating risks across domains. You will serve as a central node connecting technical, governance, and policy perspectives on prioritization, focus and rationale on our approach to frontier risks from AI. IN THIS ROLE, YOU WILL: - Develop and maintain comprehensive threat models across all misuse areas (bio, cyber, attack planning, etc.). - Develop plausible and convincing threat models across loss of control, self-improvement, and other possible alignment risks from frontier AI systems - Forecast risks by combining technical foresight, adversarial simulation, and emerging trends. - Pair closely with technical partners on capability evaluations to ensure these map to and cover the gambit of severe risks differentially enabled by frontier AI systems. - Pair closely with Bio and Cyber Leads to size the remaining risk of the designed safeguards and translate threat models into actionable mitigation designs. - Act as the thought partner and explainer of “why” and “when” for high-investment mitigation efforts—helping stakeholders understand the rationale behind prioritization. - Serve as the central node connecting technical, governance, and policy perspectives on prioritization, focus and rationale on our approach to misuse risk. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Understand risks from frontier AI systems and have a strong grasp of AI alignment literature. Bring deep experience in threat modeling, risk analysis, or adversarial thinking (e.g., security, national security, or safety). - Know how AI evaluations work and can connect eval results to both capability testing and safeguard sufficiency. - Enjoy working across technical and policy domains to drive rigorous, multidisciplinary risk assessments. - Communicate complex risks clearly and compellingly to both technical and non-technical audiences. - Think in systems and naturally anticipate second-order and cascading risks. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional informatio

About the Team OpenAI’s Infrastructure organization builds and evaluates the systems that power advanced AI workloads. We work closely with hardware, modeling, and architecture teams to ensure that new platforms deliver real-world performance aligned with workload needs. Our team focuses on understanding workload behavior across evolving hardware platforms—bridging the gap between theoretical capability and observed system performance. About the Role We are seeking a Workload Porting & Performance Engineer to evaluate new hardware platforms by porting benchmarks and real-world workloads, analyzing performance, and identifying system bottlenecks. In this role, you will bring up workloads on new systems, characterize performance behavior, and adapt workloads to better utilize hardware capabilities. You will play a critical role in validating new platforms and ensuring that performance aligns with expectations across compute, memory, and networking subsystems. This role requires strong hands-on experience with performance analysis, workload optimization, and system-level debugging across hardware and software boundaries. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance. Key Responsibilities - Port and enable benchmarks and real-world workloads on new hardware platforms. - Evaluate system performance across compute, memory, storage, and networking subsystems. - Identify and analyze performance bottlenecks and inefficiencies. - Adapt and optimize workloads to better utilize hardware capabilities. - Develop and run performance experiments and profiling workflows. - Compare expected vs. observed performance and provide feedback to: - hardware architecture teams - performance modeling teams - system and software engineers. - Debug issues across the stack, including software, runtime, and hardware interactions. - Provide actionable insights to guide platform readiness and deployment decisions. Qualifications - Experience with performance analysis, benchmarking, or workload optimization. - Strong understanding of system architecture, including CPU/GPU, memory, and I/O subsystems. - Experience porting or adapting workloads across different hardware platforms. - Familiarity with profiling tools and performance debugging techniques. - Ability to identify root causes of performance issues across hardware/software boundaries. - Experience working in large-scale or distributed system environments. Preferred Skills - Experience with AI/ML workloads, including training or inference systems. - Familiarity with GPU or accelerator-based systems. - Experience working with low-level performance tools (profilers, tracing, microbenchmarks). - Background in systems software, compilers, or runtime optimization. - Experience collaborating with hardware and architecture teams on performance validation. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or convict

About the Team The Integrity team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale. The Integrity team is at the front lines of defending against misuse in all its forms: content abuse, scaled attacks, and other actions that could undermine the user experience or harm our operational stability. About the Role As a Machine Learning Engineer in OpenAI's Integrity team, you will have the opportunity to work with some of the brightest minds in AI. You’ll work on state-of-the-art models and classifiers, experiment with new architecture and approaches, and push forward our abilities in content and user understanding. You’ll help turn research breakthroughs into tangible solutions that improve the trust and safety of our platform. If you're excited about training LLMs and building ML models, this role is your chance to make a significant mark. In this role, you will: - Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact. - Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives. - Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready. Contribute to projects that require cutting-edge technology and innovative approaches. - Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices. - Make a Difference: Monitor and maintain deployed models to ensure they continue delivering value. Your work will directly influence how AI benefits individuals, businesses, and society at large. You might thrive in this role if you: - Master's/ PhD degree in Computer Science, Machine Learning, Data Science, or a related field. - Demonstrated experience in deep learning and transformers models - Experience with content understanding or abuse prevention with LLMs is a plus - Proficiency in frameworks like PyTorch or Tensorflow - Strong foundation in data structures, algorithms, and software engineering principles. - Are familiar with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization - Excellent problem-solving and analytical skills, with a proactive approach to challenges. - Ability to work collaboratively with cross-functional teams. - Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines - Enjoy owning the problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employm

About the Team Our Safety Systems https://openai.com/safety/safety-systems team is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency. Within Safety Systems, the Model Policy team aligns model behavior with desired human values and norms. We co-design policy with models and for models by driving rapid policy taxonomy iteration based on data and defining evaluation criteria for foundational models’ ability to reason about safety. About the Role If you have a specific expertise or speciality related to this work, please note it in your application via your resume, cover letter or application note. Frontier AI systems are expanding what people can do across domains, creating both enormous opportunities and difficult safety questions: when should a model help, when should it refuse, and how do we make those boundaries clear enough to train, evaluate, and enforce? In this role, you will help define how OpenAI’s models should behave in high-risk or high-ambiguity contexts, such as agentic systems, multimodal systems, user safety, privacy, and other emerging risk domains. This is an ideal role for someone who can move across unfamiliar topics, reason from first principles, and turn ambiguity into practical model behavior. You will work closely with research, engineering, product, preparedness, and operations teams to build policies that are technically grounded, measurable, and responsive to real-world risk. In this role, you will: - Design and maintain model policies across safety-relevant domains, including dual-use, agentic, and emerging frontier-risk areas. - Translate risk and harm models into clear behavioral specifications, evaluation criteria, grading guidance, and system-level safeguards. - Define practical boundaries between beneficial uses of AI and assistance that could materially enable harm, exploitation, misuse, or unsafe outcomes. - Build policy artifacts that support model training, evaluation, and deployment.Partner with safety researchers, engineers, product teams, and other stakeholders to operationalize policy into scalable model behavior and measurable safeguards. - Use red-teaming results, deployment data, model failures, over-refusals, under-refusals, and ambiguous edge cases to improve policy and evaluation quality over time. - Identify emerging capability areas where frontier AI systems could create new safety challenges or lower barriers to harm. - Study real-world deployments to identify where model behavior succeeds, fails, or drifts from the intended safety posture. - Combine longer-horizon safety research with hands-on launch and deployment work. - Contribute to system cards, safety reports, policy documentation, launch reviews, and external communications on OpenAI's approach to model safety and risk mitigation. - Design and run human data campaigns, including gold set construction, labeling guidance, calibration, adjudication, and eval coverage analysis, to ensure policies can be reliably measured and improved. You might thrive in this role if you: - Have strong judgment about how advanced AI systems may affect real-world risk, especially in ambiguous, fast-moving, or high-impact areas. - Have experience building or applying policies, taxonomies, harm models, threat models, or risk frameworks for complex technical, social, or adversarial systems. - Can move across domains without needing to be the deepest subject-matter expert in every area, while knowing when to seek expert input. - Can turn fuzzy questions into structured policy frameworks, evaluation criteria, operational guidance, and enforceable model behavior. - Are comfortable using empirical evidence, including evaluations, red-teaming results, deployment observations, and model failure modes, to inform policy decisions. - Think in systems across policy, data, graders, classifiers, training, deployment safeguards, measurement, monitoring, and

About the Team OpenAI’s Stargate Infrastructure team is building and operating the systems that power next-generation AI workloads at massive scale. This includes deploying and managing clusters, networks, and data center infrastructure across first-party and partner environments. As the scale and complexity of these systems grow, we are investing in agentic systems and intelligent automation to improve how infrastructure is deployed, operated, and debugged. This team focuses on applying AI-driven approaches to real-world infrastructure workflows—enabling faster execution, higher reliability, and scalable operations. About the Role We are seeking an IC Agentic Engineering Manager to lead the development and application of agent-based systems for infrastructure delivery and operations within Stargate. This is a player-coach role: you will contribute directly to system design and implementation while leading a small team. You will focus on applying agentic systems to infrastructure workflows such as deployment orchestration, system bring-up, issue triage, debugging, and capacity management. This role is not focused on building general-purpose agent platforms. Instead, it is centered on applying agentic systems to solve concrete infrastructure problems, working closely with hardware, networking, and cluster teams. Key Responsibilities - Design and build agent-based systems to support infrastructure deployment and operations - Identify high-impact opportunities to apply agents across workflows such as: - cluster bring-up and deployment readiness - incident triage and root cause analysis - system validation and health monitoring - capacity management and operational decision-making - Lead a small team while contributing directly as an IC across system design, development, and integration - Partner with infrastructure, hardware, and networking teams to integrate agentic systems into production workflows - Develop systems that leverage telemetry, logs, and system signals to enable closed-loop automation - Define evaluation frameworks to measure system effectiveness, reliability, and operational impact - Drive iteration from prototype to production, ensuring robustness and scalability Qualifications - Strong software engineering background in distributed systems, infrastructure, or platform engineering - Experience building production automation systems or data-driven operational tooling - Experience applying AI, ML, or agent-based approaches to real-world systems or workflows - Ability to operate as a hands-on IC while leading a small team - Experience working cross-functionally with infrastructure, hardware, or systems teams - Strong problem-solving skills in complex, ambiguous environments Preferred Skills - Experience with LLM-based systems, agents, or autonomous workflows - Background in infrastructure operations, SRE, or large-scale system deployment - Experience working on cluster bring-up, debugging, or data center infrastructure systems - Familiarity with telemetry, monitoring systems, and observability pipelines - Experience building internal tools or platforms for engineering productivity and operations About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmat

About the Team The Alignment team at OpenAI is dedicated to ensuring that our AI systems are safe, trustworthy, and consistently aligned with human values, even as they scale in complexity and capability. Our work is at the cutting edge of AI research, focusing on developing methodologies that enable AI to robustly follow human intent across a wide range of scenarios, including those that are adversarial or high-stakes. We concentrate on the most pressing challenges, ensuring our work addresses areas where AI could have the most significant consequences. By focusing on risks that we can quantify and where our efforts can make a tangible difference, we aim to ensure that our models are ready for the complex, real-world environments in which they will be deployed. The two pillars of our approach are: (1) harnessing improved capabilities into alignment, making sure that our alignment techniques improve, rather than break, as capabilities grow, and (2) centering humans by developing mechanisms and interfaces that enable humans to both express their intent and to effectively supervise and control AIs, even in highly complex situations. About the Role As a Research Engineer / Research Scientist on the Alignment team, you will be at the forefront of ensuring that our AI systems consistently follow human intent, even in complex and unpredictable scenarios. Your role will involve designing and implementing scalable solutions that ensure the alignment of AI as their capabilities grow and that integrate human oversight into AI decision-making. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: We are seeking research engineers and research scientists to help design and implement experiments for alignment research. Responsibilities may include: - Develop and evaluate alignment capabilities that are subjective, context-dependent, and hard to measure. - Design evaluations to reliably measure risks and alignment with human intent and values. - Build tools and evaluations to study and test model robustness in different situations. - Design experiments to understand laws for how alignment scales as a function of compute, data, lengths of context and action, as well as resources of adversaries. - Design and evaluate new Human-AI-interaction paradigms and scalable oversight methods that redefine how humans interact with, understand, and supervise our models. - Train model to be calibrated on correctness and risk. - Designing novel approaches for using AI in alignment research You might thrive in this role if you: - Are a team player – willing to do a variety of tasks that move the team forward. - Have a PhD or equivalent experience in research in computer science, computational science, data science, cognitive science, or similar fields. - Have strong engineering skills, particularly in designing and optimizing large-scale machine learning systems(e.g., PyTorch). - Have a deep understanding of the science behind alignment algorithms and techniques. - Can develop data visualization or data collection interfaces (e.g., TypeScript, Python). - Enjoy fast-paced, collaborative, and cutting-edge research environments. - Want to focus on developing AI models that are trustworthy, safe, and reliable, especially in high-stakes scenarios. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of

About the team GTM Growth Engineering builds product systems that help OpenAI's go-to-market organization scale with better signal, faster learning, and more leverage. We work in live GTM workflows where agents and humans together identify important customer moments, recommend or take the next action, route judgment-heavy work, and measure whether the workflow improved business outcomes. The Learning Experiences pod sits inside GTM Growth Engineering. Its focus is helping users and organizations build practical AI literacy and confidence inside OpenAI products: contextual guidance, hands-on practice, feedback, progress, re-entry, and clear next steps. About the role We're looking for a product engineer to help build learning experiences directly inside OpenAI products that drive user acquisition, activation, retention, and more meaningful use of AI. You will turn ambiguous product and learning goals into polished, reliable, user-facing experiences that help people learn by doing. You will own meaningful product slices end to end: interaction design details, frontend implementation, backend APIs and services, progress/state, content and runtime integration, telemetry, and launch readiness. The role is ideal for a strong product engineer who can connect product craft to measurable outcomes, with an added spike in education, learning science, coaching, assessment, onboarding, training, enablement, or AI literacy. What You'll Do - Build end-to-end product experiences that help users learn AI through real tasks inside OpenAI products. - Own full-stack product slices from prototype through launch, hardening, instrumentation, and iteration. - Create intuitive flows for onboarding, guided modules, practice, knowledge checks, feedback, progress, re-entry, and recommended next steps. - Build product flows that respond to a user's starting point and avoid one-size-fits-all learning paths. - Partner with product, design, content, research, data, customer-facing, safety, privacy, support, and go-to-market teams to ship trustworthy learning experiences. - Turn learning goals into clear product flows, reusable UI patterns, and product metrics we can improve. - Instrument the experience so we can understand usage, friction, completion, learning signals, and product quality. - Connect learning experiences to real product usage, user feedback, and operational signals so the product improves as it scales. - Make pragmatic tradeoffs across speed, quality, scalability, and operational simplicity in a 0-to-1 product area. What We're Looking For - Have 4+ years of experience as a software, product, or full-stack engineer building high-quality user-facing products. - Strong product judgment and a track record of turning ambiguous ideas into shipped product. - Strong frontend or full-stack engineering skills, with comfort across modern web apps, APIs, data models, stateful user flows, and instrumentation. - Experience building in 0-to-1 or fast-moving product environments where user needs, product shape, and success metrics are still being discovered. - A high bar for UX quality, interaction details, accessibility, reliability, and user empathy. - Experience partnering closely with design, product, research, data, content, operations, and customer-facing stakeholders. - Ability to use qualitative feedback and product data to identify friction, prioritize work, and improve outcomes. - Clear written and verbal communication, especially when simplifying complex technical concepts for different audiences. - Careful judgment when building products that shape how users understand and use AI. You Might Thrive If - You like 0-to-1 product work where the right answer is discovered through shipping, measurement, and iteration. - You are excited by product surfaces that sit close to real users, real workflows, and measurable business outcomes. - You can move between prototype speed and production-quality engineering without losing sight of the user. - You enjoy

About the Team The Technical Success team is responsible for ensuring the safe and effective deployment of ChatGPT and OpenAI API applications for developers and enterprises. We act as a trusted advisor and thought leader for our customers, ensuring developers and enterprises maximize value from our models and products. As a Solutions Engineer you’ll help our customers transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models. About the Role We are seeking a solutions engineer to partner with our customers and ensure they achieve tangible business value from our models through ChatGPT and the OpenAI API. You will partner with senior business stakeholders to understand their pre-sales needs, guide their AI strategy, and identify the highest value use cases and applications. You will work with business and technical teams to demonstrate the value of our solutions and recommend architectural patterns to kickstart their implementation and development. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Deliver an exceptional pre-sales customer experience for prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions. - Demonstrate how leveraging OpenAI APIs and ChatGPT can meet customers’ business needs and deliver substantial business value. This includes building and presenting demos, scoping use cases, recommending architecture patterns, and providing in-depth technical advisory. - Create and maintain documentation, guides, and FAQs related to common questions and requirements discovered during the pre-sales process. - Develop and nurture strong customer relationships during the evaluation, validation, and purchasing process. - Foster customer advocacy and represent the voice of the customer with internal teams by gathering and relaying customer feedback, identifying themes across customers, and incorporating them into product planning. - Serve as the first line of defense for security and compliance questions, explaining standardized collateral, guiding customers toward relevant resources (e.g., trust portal), and escalating complex requirements to the appropriate teams. You’ll thrive in this role if you: - Have 3+ years of experience in a technical pre-sales or similar role, managing C-level technical and business relationships with complex global organizations. - Demonstrate a thorough understanding of IT security principles and customer requirements for technical B2B SaaS products, with experience providing higher-level security and compliance support. - Have foundational training in programming languages like Python or Javascript. - Have delivered prototypes of Generative AI/traditional ML solutions and have knowledge of network/cloud architecture. - Are an effective presenter and communicator who can translate business and technical topics to all audiences, including senior leaders. - Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done. - Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the bas

About the Team The Frontier Systems team at OpenAI builds, launches, and supports the largest supercomputers in the world that OpenAI uses for its most cutting edge model training. We take data center designs, turn them into real, working systems and build any software needed for running large-scale frontier model trainings. Our mission is to bring up, stabilize and keep these hyperscale supercomputers reliable and efficient during the training of the frontier models. About the Role We are looking for engineers to operate the next generation of compute clusters that power OpenAI’s frontier research. This role blends distributed systems engineering with hands-on infrastructure work on our largest datacenters. You will scale Kubernetes clusters to massive scale, automate bare-metal bring-up, and build the software layer that hides the complexity of a magnitude of nodes across multiple data centers. You will work at the intersection of hardware and software, where speed and reliability are critical. Expect to manage fast-moving operations, quickly diagnose and fix issues when things are on fire, and continuously raise the bar for automation and uptime. In this role, you will: - Spin up and scale large Kubernetes clusters, including automation for provisioning, bootstrapping, and cluster lifecycle management - Build software abstractions that unify multiple clusters and present a seamless interface to training workloads - Own node bring-up from bare metal through firmware upgrades, ensuring fast, repeatable deployment at massive scale - Improve operational metrics such as reducing cluster restart times (e.g., from hours to minutes) and accelerating firmware or OS upgrade cycles - Integrate networking and hardware health systems to deliver end-to-end reliability across servers, switches, and data center infrastructure - Develop monitoring and observability systems to detect issues early and keep clusters stable under extreme load - Be expected to execute at the same level as a software engineer You might thrive in this role if you: - Have deep experience operating or scaling Kubernetes clusters or similar container orchestration systems in high-growth or hyperscale environments - Bring strong programming or scripting skills (Python, Go, or similar) and familiarity with Infrastructure-as-Code tools such as Terraform or CloudFormation - Are comfortable with bare-metal Linux environments, GPU hardware, and large-scale networking - Enjoy solving fast-moving, high-impact operational problems and building automation to eliminate manual work - Can balance careful engineering with the urgency of keeping mission-critical systems running Qualifications - Experience as an infrastructure, systems, or distributed systems engineer in large-scale or high-availability environments - Strong knowledge of Kubernetes internals, cluster scaling patterns, and containerized workloads - Proficiency in cloud infrastructure concepts (compute, networking, storage, security) and in automating cluster or data center operations Bonus: background with GPU workloads, firmware management, or high-performance computing About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Emplo

About the Team Our Cyber team builds AI systems and products that help trusted defenders understand and respond to cyber threats while improving the safety and reliability of frontier models in security-sensitive settings. The team works across product engineering, model training, evaluations, safeguards, and deployment to make advanced cyber capabilities useful to defenders and responsibly managed. We collaborate closely with Safety/Preparedness, Research, Security, Legal, Communications, GTM, and external partners across OpenAI’s broader cyber work. About the Role We’re looking for research and software engineers to join Codex Cyber. You’ll help define and ship security products, work with trusted defenders and customers, shape model training and access patterns, and build research and evaluation systems for assessing cyber capabilities, validating safeguards, and improving training data. This role is hands-on and cross-functional, connecting product launches, model development, safety work, and real-world security use cases. In this role, you will: - Help define and execute the technical roadmap for Codex Cyber’s security products, including evaluations, safeguards, trusted-defender workflows, and deployment decisions. - Work with trusted defenders, customers, and partner teams to understand cyber use cases, evaluate risk, and turn feedback into product and research priorities. - Shape cyber-specific model training and access patterns, including data, evaluations, validation, and deployment criteria. - Build and validate systems for measuring cyber capabilities, monitoring misuse risk, and proving safeguards work in practice. - Collaborate with Safety/Preparedness, Research, Security, Legal, Communications, Go-to-Market, and external partners on company-wide cyber priorities. - Translate frontier cyber research into launch-ready tools, operational playbooks, and durable infrastructure for Codex and security products. You might thrive in this role if you: - Enjoy 0 -> 1 environments, can navigate ambiguity, are excited to build security products that bring frontier AI capabilities to trusted defenders responsibly. - Can move fluidly between product launches, customer and defender partnerships, model training, evaluation science, and security research. - Have strong programming skills in Python, TypeScript/JavaScript, or similar languages, with the judgment to build reliable systems in ambiguous, high-stakes domains. - Think clearly about cyber capability, misuse risk, access patterns, safeguards, and deployment tradeoffs in high-stakes environments. - Have experience in ML systems, security products, cyber evaluations, model training, safety engineering, or trusted customer deployments. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance f

About the Team OpenAI’s Hardware organization develops system and infrastructure solutions designed for the unique demands of advanced AI workloads. We work closely with architecture, infrastructure, and vendor teams to evaluate system performance and guide critical design decisions. Our team focuses on building and applying performance modeling frameworks to understand system behavior, quantify tradeoffs, and support next-generation infrastructure design. About the Role We are seeking an Performance Modeling Engineer to support the development and application of modeling tools used to evaluate AI system performance and inform architectural decisions. In this role, you will partner closely with Senior Performance Modeling Engineers and the Performance Modeling Lead to analyze system behavior, run simulations and analytical models, and help evaluate tradeoffs across compute, memory, networking, and storage. You will contribute to building modeling frameworks while developing a strong foundation in system architecture and AI infrastructure. This role is ideal for early-career engineers with 1–2 years of experience in software engineering, systems analysis, or performance modeling who are excited to grow in large-scale infrastructure and hardware/software systems. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance. Key Responsibilities - Support the development and maintenance of performance modeling tools and frameworks - Assist in building models to evaluate system behavior across compute, memory, networking, and interconnect subsystems - Help analyze distributed system scaling behavior and identify performance bottlenecks - Run simulations and analytical models to support architecture and infrastructure decisions - Partner with senior engineers to evaluate design tradeoffs across hardware and system components - Interpret modeling outputs and help translate findings into clear recommendations - Validate models using benchmarking data and real system performance measurements - Improve modeling workflows, documentation, and usability for broader team adoption - Collaborate cross-functionally with hardware, infrastructure, and architecture teams - Continuously build technical depth across AI infrastructure, system architecture, and performance analysis Qualifications - 1–2 years of experience in software engineering, systems modeling, performance analysis, or related technical work - Strong programming skills and experience building technical tools, scripts, or frameworks - Familiarity with system architecture fundamentals such as compute, memory, and networking - Ability to reason about system performance, bottlenecks, and scaling behavior - Strong analytical and problem-solving skills with comfort working in quantitative environments - Ability to learn quickly and work effectively across technical teams Preferred Skills - Exposure to AI/ML workloads, distributed systems, or large-scale infrastructure - Experience with simulation tools, benchmarking, profiling, or performance analysis - Familiarity with data center systems, server architecture, or hardware platforms - Interest in system architecture and hardware/software co-design - Internship or early professional experience in performance engineering, infrastructure, or systems design About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion,

ABOUT THE TEAM OpenAI’s mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. A key part of achieving that mission is training models that deeply understand and reflect human preferences — the Human Data team is at the heart of that effort. The Human Data engineering team creates the systems that enable scalable, high-quality human feedback. These systems are essential to how OpenAI trains and improves its most advanced models. Engineers on this team collaborate closely with world-class researchers to bring alignment techniques to life — from experimental ideas to production-ready feedback loops. ABOUT THE ROLE We’re looking for software engineers to join the Human Data team and build the platforms, prototypes, tools, and infrastructure that power how our AI models are trained, aligned, and evaluated. You’ll partner with researchers and cross-functional teams to bring alignment ideas to life, influence future model training, and shape how models interact with the real world. We’re looking for people who are excited by technical ownership, enjoy working across the stack, and are eager to solve ambiguous problems in a high-impact, fast-paced environment. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. IN THIS ROLE, YOU WILL: - Build and maintain robust full-stack systems for feedback collection, data labeling, and evaluation pipelines, while maintaining high levels of security. - Translate experimental alignment research into scalable production infrastructure, including inference and model training stacks. - Design and iterate on user-facing tools and backend services to support high-quality data workflows - Partner with researchers, engineers, and program leads to shape feedback loops and model interaction paradigms - Drive infrastructure improvements that enable faster iteration and scaling across OpenAI’s frontier models, from internal research tooling all the way to production ChatGPT. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have strong software engineering fundamentals and experience building production systems at scale - Enjoy full-stack development with end-to-end ownership — from backend pipelines to user interfaces - Are motivated by high-impact collaboration with research teams and solving novel, ambiguous problems - Are excited to shape how AI systems learn from human preferences and reflect a broad range of human values - Care deeply about inclusive tooling and building systems that enhance model safety, reliability, and usefulness About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County

About the Team The Cooperative AI team is scaling OpenAI with OpenAI. We are building an AI powered knowledge system that evolves and learns as our products, systems and customers evolve. We leverage our state of the art models, technologies, and products (some external, some still in the lab) to assist or completely automate robust operations supporting both internal and external customers. We support OpenAI customers and internal partners globally, powering systems from customer support to integrity to product insights. We are a self-contained multi-disciplinary team, who enjoy a lightning fast feedback loop with customers at scale, some of whom sit just a few pods away. We iterate fast, and engineer for reliable long-term impact. We're constantly looking for the similarities and patterns in different types of work, and focus on building simple primitives, to apply world class knowledge to many domains. The work of this team exemplifies use of OpenAI technologies. We build systems so everyone can see the leverage that is possible with well designed AI-based implementations. We do this by working through internal use cases focused on Customers (specifically knowledge systems, automation systems, and automated agent systems) to prove impact, then we scale. About the Role We’re looking for Software Engineers who're passionate about blending production-ready platform architecture with new tech and new paradigms. You’ll push the boundaries of OpenAI’s newest technologies to enable interactions and automations that are not only functional, but delightful. We value proactive, customer-centric engineers who can get the foundational details right (data models, architecture, security) in service of enabling great products. In this role, you will: - Own the end-to-end development lifecycle for new platform capabilities and integrations with other systems - Collaborate closely with engineers, data scientists, information systems architects, and internal customers to understand their problems and implement effective solutions - Work with product and research team to share relevant feedback and iterate on applying their latest models About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of pro

ABOUT THE TEAM The Interpretability team studies internal representations of deep learning models. We are interested in using representations to understand model behavior, and in engineering models to have more understandable representations. We are particularly interested in applying our understanding to ensure the safety of powerful AI systems. Our working style is collaborative and curiosity-driven. ABOUT THE ROLE OpenAI is seeking a researcher passionate about understanding deep networks, with a strong background in engineering, quantitative reasoning, and the research process. You will develop and carry out a research plan in mechanistic interpretability, in close collaboration with a highly motivated team. You will play a critical role in helping OpenAI ensure future models remain safe even as they grow in capability. This will make a significant impact on our goal of building and deploying safe AGI. In this role, you will: - Develop and publish research on techniques for understanding representations of deep networks. - Engineer infrastructure for studying model internals at scale. - Collaborate across teams to work on projects that OpenAI is uniquely suited to pursue. - Guide research directions toward demonstrable usefulness and/or long-term scalability. You might thrive in this role if you: - Are excited about OpenAI’s mission https://openai.com/about/ of ensuring AGI benefits all of humanity, and are aligned with OpenAI’s charter https://openai.com/charter/. - Show enthusiasm for long-term AI safety, and have thought deeply about technical paths to safe AGI. - Bring experience in the field of AI safety, mechanistic interpretability, or spiritually related disciplines. - Hold a Ph.D. or have research experience in computer science, machine learning, or a related field. - Thrive in environments involving large-scale AI systems, and are excited to make use of OpenAI’s unique resources in this area. - Possess 2+ years of research engineering experience and proficiency in Python or similar languages. - Are deeply curious. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to se

About the Team The Personal AGI team is responsible for training and improving pre-trained models to be deployed into ChatGPT, the API, and potential future products. In the Model Experience team, we shape the default character and behavior of ChatGPT: how the model communicates, responds to users, uses its capabilities, and behaves across different contexts and languages. Our goal is to make every interaction with ChatGPT thoughtful, helpful, and trustworthy. We take an opinionated view of what good human–AI interaction should look like, then turn that vision into real model behavior through human data, evaluations, reward models, and post-training. Our work sits at the intersection of research, product, and model design. We partner closely with teams across OpenAI to conduct research and ensure our models are thoughtful, safe, reliable to serve millions of users. About the Role As a Research Engineer / Scientist, you will research and develop improvements to our models. Our team works in research areas combining reinforcement learning and products. We're looking for individuals with strong ML engineering skills and research experience, especially with novel and highly capable models. An ideal candidate is passionate about product-driven research and the quality of human-AI interaction. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Own and pursue a research agenda to improve model capability and performance. - Collaborate closely with the other research and product teams, allowing customers to optimize their own models. - Build robust evaluations for tracking modeling improvements. - Design, implement, test, and debug code across our research stack. You might thrive in this role if you: - Have a deep understanding of machine learning and machine learning applications. - Have good judgment about model behavior and can communicate this judgment effectively. - Enjoy taking ambitious, qualitative problems and turning them into concrete training interventions. - Have a working knowledge of relevant models, and building evaluations for model capability improvement. - Are comfortable diving into a large ML codebase to debug. - Thrive in a dynamic, technically complex, and collaborative environment. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from

ABOUT THE TEAM The Statsig team within OpenAI owns the experimentation, rollout, dynamic configuration, and analytics infrastructure that sits on the launch path for OpenAI products. Our systems help teams ship safely, evaluate product and model changes in production, and make high-confidence decisions from real-world usage. Statsig began as an independent company built around experimentation, feature management, and product analytics at scale. After Statsig joined OpenAI, the team began the next chapter: bringing that platform expertise and infrastructure into OpenAI as the experimentation and rollout foundation for every product we ship. This is infrastructure with a very direct product consequence. Teams working on ChatGPT, Codex, model measurement, consumer experiences including ads, business subscriptions, developer products, and shared platform systems depend on Statsig to evaluate configurations, move traffic safely, ingest experiment data, serve analytics, and roll changes forward or back when production reality demands it. We are at a critical point in the platform journey. Adoption is accelerating quickly across OpenAI, and the systems that were already important are becoming load-bearing for how the company launches. The infrastructure needs to stay fast under sharply increasing evaluation volume, reliable when more services depend on it, observable enough to debug quickly, and efficient enough to support OpenAI-wide scale. Recent SDK and server-side infrastructure work has already produced measurable wins in latency, reliability, memory usage, and compute efficiency across important services. The next phase is to make those gains systematic: a platform that can absorb rapidly growing product velocity while preserving low latency, data quality, operational safety, and developer trust. Based out of OpenAI's Bellevue office, we are a close-knit team that values in-person collaboration, technical depth, operational ownership, and building infrastructure that lets other builders move faster without taking on hidden reliability risk. ABOUT THE ROLE As an Infrastructure Engineer on the Statsig team, you will build and scale the foundational systems behind OpenAI's experimentation and rollout platform. You will work on the distributed control plane, SDK and server evaluation paths, ingestion pipelines, analytics foundations, and operational tooling that make launches safe and measurable at OpenAI scale. This role is deeply technical and centered on performance, scalability, reliability, and correctness. You will design systems that serve low-latency configuration decisions, handle high-throughput event ingestion, preserve data availability for experimentation and analytics workflows, and keep critical launch infrastructure dependable as usage grows. The work matters because OpenAI's next phase depends on learning quickly without compromising safety or reliability. Every major product surface needs a trusted way to evaluate changes, progressively roll them out, understand impact, and recover cleanly. Statsig is one of the core infrastructure layers that makes that possible. IN THIS ROLE, YOU WILL - Design and operate low-latency configuration delivery systems powering feature flags, dynamic configs, and progressive rollouts across OpenAI product suites. - Scale SDK, server-side evaluation, and control-plane systems so high-volume services can depend on Statsig without adding user-visible latency or operational fragility. - Build high-throughput data ingestion and analytics infrastructure for experimentation, product analytics, feature performance monitoring, and model or product measurement workflows. - Improve performance, efficiency, reliability, and observability of core Statsig infrastructure as OpenAI products scale globally. - Optimize query performance, data freshness, and data availability for teams making launch decisions from experimentation and analytics workflows. - Strengthen operational excellence through bett

ABOUT THE TEAM OpenAI's mission is to ensure that artificial general intelligence benefits all of humanity. The Consumer Devices team is building a new generation of AI-powered products that seamlessly integrate hardware and software to create intuitive, transformative experiences. We bring together experts across embedded systems, machine learning, hardware, design, and product engineering to develop products at the intersection of AI and consumer technology. ABOUT THE ROLE OpenAI is seeking a System Performance Engineer to profile, benchmark, and optimize performance across our embedded hardware products. In this role, you will work across operating systems, applications, camera and vision, graphics, and platform teams to define product KPIs, build performance tooling, and drive optimizations from early lab characterization through product launch and real-world usage. You will help establish the performance standards that shape the user experience of our products, ensuring they remain responsive, efficient, and reliable throughout their lifecycle. This role requires deep expertise in embedded or high-performance systems, strong operating systems fundamentals, and hands-on experience debugging under tight latency, power, and memory constraints. This role is based in San Francisco, CA. We use a hybrid work model of four days per week in the office and one day working remotely. Relocation assistance is available for new hires. IN THIS ROLE, YOU WILL: - Develop system performance benchmarks, methodologies, and policies to evaluate end-to-end product behavior. - Profile and analyze performance across key product use cases and workloads using custom and industry-standard profiling tools. - Partner closely with engineering teams to identify bottlenecks and drive performance optimizations across the software stack. - Define high-level product KPIs and establish measurement frameworks to measure launch readiness and monitor performance throughout the product lifecycle. - Measure, report, and track metrics including system responsiveness, memory utilization, cold boot performance, long-term stability, and behavior under constrained conditions such as thermal limits and low battery states. - Investigate field performance regressions and drive issues to resolution using data-driven analysis. YOU MIGHT THRIVE IN THIS ROLE IF YOU HAVE: - Deep experience shipping embedded or high-performance systems on Linux, Android, or iOS devices. - Strong proficiency in C/C++, Python, or Rust, with exceptional operating systems fundamentals, including process management, IPC, drivers, interrupts, power management, media frameworks, graphics, filesystems, and networking. - A proven track record shipping real-time systems operating under tight latency, power, and memory constraints. - Expertise with profiling and debugging tools such as Perfetto, GDB, LLDB, perf, ftrace, or Instruments. - Experience building instrumentation, analytics, and performance tuning frameworks. PREFERRED QUALIFICATIONS - Familiarity with statistics, experimentation methodologies, or data science concepts. - Experience collaborating cross-functionally with embedded software, systems, camera and vision, audio, graphics, applications, and hardware teams. - Experience defining product KPIs, benchmarking methodologies, and launch readiness metrics for hardware products. - Experience investigating field performance regressions and driving fixes through cross-functional collaboration. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectr

About the Team The Developer Experience team at OpenAI has a singular focus: empowering developers globally. Our mission is to provide every developer and startup on the planet with the most delightful and seamless experience to integrate AI into their applications and products. We ensure developers have the tools, resources, and support they need to unlock AI’s full potential. We create inspiring demos, developer tools, sample applications, and technical content that show developers how to build with Codex and frontier models like GPT-5.5 and GPT-Image-2 to create powerful agents and AI-native applications. We collaborate closely with product, engineering, research, and GTM teams to ensure the developer journey, from onboarding with Codex to first API call to production deployment, is seamless, effective, and delightful. About the Role As a Developer Experience Engineer, you will create compelling technical content, developer tools, and sample applications designed to inspire developers and enable them to succeed with Codex and OpenAI’s APIs and products for developers. You will engage with developers and technical founders, demonstrating best practices and building innovative applications powered by frontier models, multimodal capabilities, and tools like Codex. We’re looking for people who combine strong technical skills, creativity, and a passion for engaging with and empowering developers. In this role, you will: - Develop demos and sample applications that showcase best practices for building with Codex, frontier models, multimodal capabilities, and agents. - Create high-quality technical content, including tutorials, blog posts, videos, and code samples, to educate and inspire the developer community about our models, APIs, and Codex. - Actively engage with and foster a vibrant Singapore and global developer ecosystem around OpenAI's platform and products. - Represent OpenAI at developer events and online, serving as a knowledgeable and approachable advocate for developers. - Gather and synthesize developer feedback to inform and improve our product roadmap. - Collaborate cross-functionally with product, engineering, and marketing teams to drive adoption and success across OpenAI's developer products, including Codex and our APIs. - Contribute directly to improving and refining OpenAI's developer products, interfaces, and surfaces. - Own challenges end-to-end, proactively closing gaps and developing new skills to solve complex problems. - Travel across APAC up to ~30% of the time to meet developers, support events, and build local communities. You might thrive in this role if you: - Are passionate about crafting exceptional developer experiences and creating inspirational technical content and projects. - Bring a robust full-stack engineering background with demonstrated experience building innovative applications using AI and large language models (LLMs). - Mandarin language skills as the role will also cover clients and communities that are Mandarin-speaking. - Have strong user empathy and care deeply about delivering experiences developers truly appreciate. - Have a proven track record of successfully creating engaging technical content, compelling demos, or innovative developer tooling that accelerates technology adoption. - Find joy in coding, continuously shipping high-quality, impactful software. - Excel in dynamic environments characterized by rapidly evolving priorities, ambiguity, and competing deadlines. - Are an exceptional collaborator who thrives working cross-functionally and enjoys partnering with diverse teams. - Maintain a genuine commitment to AI ethics and safety, strongly aligning with OpenAI's responsible AI development principles. - Stay deeply current on OpenAI's latest developer products and offerings, including Codex, APIs, and frontier models, and translate that fluency into useful demos, content, and developer guidance. About OpenAI OpenAI is an AI research and deployment company dedicated to

ABOUT THE TEAM The Codex Research team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proactive intelligence that can operate computers, collaborate with people and other agents, and expand what people and organizations can imagine, attempt, and achieve. We define what the next generation of agents should be able to do, build the training signal that teaches those abilities, and run the experiments that make them real. Our work spans coding, tool use, computer use, multi-agent coordination, long-horizon execution, factuality, instruction following, calibrated reasoning, and taste. Our team is where new model capabilities get made. We build the data, environments, graders, training methods, and feedback loops that shape what OpenAI's next agents can do, then carry those capabilities through major training runs and into the products people use. ABOUT THE ROLE As a member of the Codex Research team, you will improve the capabilities, reliability, and product fit of OpenAI's agentic models. You might own a research direction, build the infrastructure that makes large training runs faster and more trustworthy, create evals that reveal where models fail, or drive a capability from an idea through experimentation, integration, and launch. This role is intentionally broad. The strongest candidates are not defined by one method or subfield; they are people who can take an ambiguous capability problem and make progress across research, engineering, data, evals, and product. You should be excited to work on models that act in the world: writing and debugging code, using tools, calling functions, operating computers, collaborating with other agents, and completing valuable work on behalf of users. You will work with researchers, engineers, product teams, infrastructure teams, and safety/alignment partners to decide what should go into major model runs, measure whether it worked, and ship improvements into products used by real people. This is a high-agency role for people who want their work to land directly in frontier models. IN THIS ROLE, YOU MIGHT: - Design and run experiments that improve agentic model behavior across coding, tool use, function calling, computer use, multi-agent collaboration, long-horizon tasks, factuality, instruction following, and calibrated reasoning. - Own end-to-end improvements to the post-training stack, including RL, data pipelines, graders, reward signals, evals, diagnostics, and model-behavior analysis. - Build evals and environments that expose the next set of model failures, then turn those failures into training data, product fixes, or new research directions. - Partner with Codex, API/platform, ChatGPT, and general-agent product teams to understand what users need and translate product signal into model improvements. - Work on early-training and alignment interventions, including data mixtures, objectives, synthetic data, and eval loops that shape downstream agent behavior. - Help decide which integrations, capabilities, and fixes are ready for inclusion in major model runs. - Improve the machinery for large-scale training and launch: experiment velocity, reliability, observability, reproducibility, cost, latency, and production readiness. - Take on cross-functional projects that touch model training, product infrastructure, and the production agent harness, such as multi-agent systems or training directly against production-like environments. - Debug hard failures in shipped or near-shipped models and turn messy qualitative behavior into concrete hypotheses, experiments, and fixes. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have strong technical fundamentals in machine learning, software engineering, systems, statistics, or a related field, and can learn quickly across the parts you have not worked in before. - Have hands-on experience with LLMs, RL, RLHF/RLAIF, post-training, evals,

ABOUT THE TEAM The Agent Post-Training team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proactive intelligence that can operate computers, collaborate with people and other agents, and expand what people and organizations can imagine, attempt, and achieve. We define what the next generation of agents should be able to do, build the training signal that teaches those abilities, and run the experiments that make them real. Our work spans coding, tool use, computer use, multi-agent coordination, long-horizon execution, factuality, instruction following, calibrated reasoning, and taste. Our team is where new model capabilities get made. We build the data, environments, graders, training methods, and feedback loops that shape what OpenAI's next agents can do, then carry those capabilities through major training runs and into the products people use. ABOUT THE ROLE As a researcher working on Frontier Evals & Environments, you will help build north star model environments to drive progress towards safe AGI/ASI. Your work will directly guide the research programs of the most ambitious training runs happening at OpenAI. Some prior open-sourced evaluations built by researchers in this role include GDPval https://openai.com/index/gdpval/, SWE-bench Verified https://openai.com/index/introducing-swe-bench-verified/, MLE-bench https://openai.com/index/mle-bench/, PaperBench https://openai.com/index/paperbench/, and SWE-Lancer https://openai.com/index/swe-lancer/. If you are interested in feeling firsthand the fast progress of our models, and steering them towards good outcomes, this is the role for you. You will work with researchers, engineers, product teams, infrastructure teams, and safety/alignment partners to decide what should go into major model runs, measure whether it worked, and ship improvements into products used by real people. This is a high-agency role for people who want their work to land directly in frontier models. IN THIS ROLE, YOU MIGHT - Create ambitious RL environments to push our models to their limits, and measure frontier model capabilities, skills, and behaviors - Develop new methodologies for automatically exploring the behavior of these models - Dive deep into the science of measurement, including understanding scalability, reliability, and variance of our evaluation methodology - Help steer training for our largest training runs, and see the future first - Design scalable systems and processes to support continuous evaluation - Build self-improvement loops to automate model understanding YOU MIGHT THRIVE IN THIS ROLE IF YOU - Have strong technical fundamentals in machine learning, software engineering, systems, statistics, or a related field, and can learn quickly across the parts you have not worked in before. - Have hands-on experience with LLMs, RL, RLHF/RLAIF, post-training, evals, graders, synthetic data, model training, coding agents, tool-using agents, or production ML systems. - Are excited by open-ended problems where the path is unclear, the signal is noisy, and the right answer requires both research taste and engineering execution. - Care about product impact and model behavior, not just benchmark movement. You have opinions about what makes an agent useful, reliable, honest, tasteful, and easy to work with. - Can move from a vague behavioral problem to a concrete experiment: define the hypothesis, build the pipeline, run the model, analyze the result, and decide what to do next. - Are comfortable working across research, product, infrastructure, data, evals, and safety boundaries, and can communicate clearly with each group. - Like building load-bearing systems and processes when that is what the team needs, even if the work is not glamorous. - Want to train and ship the models that make agents genuinely useful for developers, enterprises, researchers, and everyday users. Abo

ABOUT THE TEAM The Industrial Compute team is responsible for building and scaling the infrastructure foundation that powers OpenAI’s research and products. The team works across compute strategy, infrastructure planning, hardware partnerships, and capacity management to ensure OpenAI can meet rapidly growing training and inference demands with resilient, efficient, and future-looking infrastructure systems. ABOUT THE ROLE As a Strategic Deals Leader, you will help shape OpenAI's long-term approach to AI infrastructure, compute capacity, and strategic ecosystem partnerships. Operating at the intersection of infrastructure strategy, technology evaluation, commercial partnerships, and market development, you will identify and execute opportunities that expand OpenAI's access to the compute, infrastructure, and technologies required to support frontier AI systems. You will work closely with engineering, infrastructure, finance, and executive leadership teams to evaluate emerging technologies, develop ecosystem strategies, assess build-versus-buy decisions, and cultivate strategic relationships across hardware vendors, cloud providers, data center operators, and the broader AI infrastructure ecosystem. We’re looking for people who combine deep understanding of AI infrastructure and emerging technology ecosystems with strong strategic judgment, technical curiosity, and the ability to build partnerships across a rapidly evolving industry landscape. IN THIS ROLE, YOU WILL - Develop and execute strategies that expand OpenAI's access to compute, infrastructure, and emerging AI technologies. - Evaluate strategic opportunities across hardware platforms, cloud providers, infrastructure partners, and ecosystem participants. - Partner with engineering and infrastructure teams to understand future workload requirements and translate them into long-term compute and ecosystem strategies. - Assess build-versus-buy tradeoffs across infrastructure, platform, and capacity decisions. - Build and manage relationships with hardware vendors, hyperscalers, cloud providers, data center operators, and emerging infrastructure companies. - Evaluate new infrastructure technologies and architectures to inform adoption, partnership, and deployment decisions. - Support commercial discussions and strategic partnerships that improve OpenAI's infrastructure flexibility, resilience, and long-term capacity position. - Monitor market, technology, and competitive developments across the AI infrastructure landscape and develop recommendations for leadership. YOU MIGHT THRIVE IN THIS ROLE IF YOU - Have experience in AI infrastructure, cloud computing, semiconductors, data centers, distributed systems, or adjacent technology ecosystems. - Possess a strong understanding of compute infrastructure, accelerator technologies, cloud platforms, and infrastructure economics. - Have experience evaluating emerging technologies and developing long-term infrastructure or ecosystem strategies. - Can work effectively with technical teams and translate complex engineering concepts into strategic business recommendations. - Have experience building partnerships and influencing senior stakeholders across internal and external organizations. - Demonstrate strong analytical and strategic thinking skills, with the ability to operate in ambiguous and rapidly evolving environments. - Communicate effectively with both technical and business audiences, including executive leadership. - Are passionate about the future of AI infrastructure and the ecosystem required to support frontier model development. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission

By applying to this role, you will be considered for Research Scientist roles across all teams at OpenAI. About the Role As a Research Scientist here, you will develop innovative machine learning techniques and advance the research agenda of the team you work on, while also collaborating with peers across the organization. We are looking for people who want to discover simple, generalizable ideas that work well even at large scale, and form part of a broader research vision that unifies the entire company. We expect you to: - Have a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects - Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects - Be excited about OpenAI’s approach to research Nice to have: - Interested in and thoughtful about the impacts of AI technology - Past experience in creating high-performance implementations of deep learning algorithms About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About the Team OpenAI is building AI systems that can help professionals perform complex, high-value work with greater speed, rigor, and creativity. Investment banking is one of the most demanding environments for knowledge work: bankers must synthesize fragmented information, exercise judgment under pressure, and produce precise, defensible models, analyses, and client materials. Our team works across Research, Product, Engineering, and Go-to-Market to make OpenAI's models genuinely useful for these workflows. We translate real professional work into product requirements, evaluations, training signals, and repeatable customer solutions. We care not only whether a model can generate an answer, but whether it can deliver accurate, defensible work that experienced bankers can trust and use. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. About the Role We are looking for a Subject Matter Expert in Investment Banking to help define what excellent AI-assisted banking work looks like and turn that standard into better models and products. You will bring deep, current knowledge of how investment banking work is actually performed, including company and industry research, financial analysis and modeling, valuation, diligence, transaction execution, and the creation and review of client materials. You will use that expertise to design realistic tasks and evaluations, create and assess high-quality reference work, diagnose model failures, and help our technical teams improve model behavior and product experiences. This is a hands-on individual-contributor role for someone who enjoys both doing the work and explaining what makes it good. You should be comfortable moving between an Excel model, a presentation, a source document, an evaluation rubric, a product prototype, and a conversation with researchers or customers. You will help us distinguish outputs that merely look plausible from work that is accurate, traceable, internally consistent, and ready for serious professional use. In This Role, You Will - Define the quality bar for AI-assisted investment banking work across research, financial analysis, valuation, modeling, diligence, transaction execution, and client materials. - Translate real banking workflows into challenging, representative evaluation tasks with realistic inputs, constraints, deliverables, and success criteria. - Create and refine banker-grade reference artifacts, including financial models, valuation analyses, diligence materials, screening outputs, pitch books, committee materials, and transaction documents. - Develop rigorous rubrics and grading methods that assess financial correctness, analytical judgment, source quality, traceability, internal consistency, presentation quality, and practical usefulness. - Evaluate model outputs and end-to-end agent workflows, identify recurring failure modes, and translate findings into actionable feedback for Research, Engineering, and Product. - Partner with researchers and engineers on evals, graders, datasets, human-review processes, tools, and product integrations that improve model performance on financial work. - Work closely with product teams to identify the highest-value opportunities for AI in investment banking, prototype new workflows using OpenAI tools, and assess whether early experiences meet the needs of real users. - Engage with customers, design partners, and domain reviewers to understand real-world standards and constraints, support testing and adoption, codify domain knowledge, and ensure responsible financial-services deployment. You Might Thrive in This Role If You - Have 2+ years of investment banking experience, including live transaction execution and the production of high-quality analyses, financial models, and client materials. Demonstrated ability and judgment matter more than title or tenure. - Have strong command of core banking workflows ac

ABOUT THE TEAM Preparedness is a critical Safety Research team at OpenAI, which is focused on mitigating AI threats to global security https://openai.com/index/updating-our-preparedness-framework/ that could scale to an extreme level of severity. Our work involves: 1. Measurement. Monitoring and predicting the evolving capabilities of frontier AI systems. 2. Mitigation. Keeping misuse safeguards, alignment tools, and security measures on track to adequately address extreme threats that might arise in the future. 3. Coordination. Setting mitigation targets by maintaining OpenAI’s preparedness framework https://openai.com/index/updating-our-preparedness-framework/, and partnering with other staff to achieve these targets. This is urgent, fast-paced work that has far-reaching implications for the company and for society. ABOUT THE ROLE We are looking to hire exceptional research engineers that can push the boundaries of our frontier models. Specifically, we are looking for those that will help us shape our empirical grasp of the whole spectrum of AI safety concerns and will own individual threads within this endeavor end-to-end. You will own the scientific validity of our frontier preparedness capability evaluations—designing new evals grounded in real threat models (including high-consequence domains like CBRN as well as cyber and other frontier-risk areas), and maintaining existing evals so they don’t stale or silently regress. You’ll define datasets, graders, rubrics, and threshold guidance, and produce auditable artifacts (evaluation cards, capability reports, system-card inputs) that leadership can trust during high-stakes launches. IN THIS ROLE, YOU'LL: - Work on identifying emerging AI safety risks and new methodologies for exploring the impact of these risks - Build (and then continuously refine) evaluations of frontier AI models that assess the extent of identified risks - Design and build scalable systems and processes that can support these kinds of evaluations - Contribute to the refinement of risk management and the overall development of "best practice" guidelines for AI safety evaluations YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Are passionate and knowledgeable about short-term and long-term AI safety risks - Demonstrate the ability to think outside the box and have a robust “red-teaming mindset” - Have experience in ML research engineering, ML observability and monitoring, creating large language model-enabled applications, and/or another technical domain applicable to AI risk - Are able to operate effectively in a dynamic and extremely fast-paced research environment as well as scope and deliver projects end-to-end IT WOULD BE GREAT IF YOU ALSO HAVE: - First-hand experience in red-teaming systems—be it computer systems or otherwise - A good understanding of the (nuances of) societal aspects of AI deployment - Excellent communication skills and the ability to work cross-functionally This role may require access to technology or technical data controlled under the U.S. Export Administration Regulations or International Traffic in Arms Regulations. Therefore, this role is restricted to individuals described in paragraph (a)(1) of the definition of “U.S. person” in the U.S. Export Administration Regulations, 15 C.F.R. § 772.1, and in the International Traffic in Arms Regulations, 22 C.F.R. § 120.62. U.S. persons are U.S. citizens, U.S. legal permanent residents, individuals granted asylum status in the United States, and individuals admitted to the United States as refugees. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different pers

About the Team OpenAI's Training team is responsible for producing the large language models that power our research, our products, and ultimately bring us closer to AGI. Achieving this goal requires combining deep research into improving our current architecture, datasets and optimization techniques, alongside long-term bets aimed at improving the efficiency and capability of future generations of models. We are responsible for integrating these techniques and producing model artifacts used by the rest of the company, and ensuring that these models are world-class in every respect. Recent examples of artifacts with major contributions from our team include GPT4-Turbo, GPT-4o and o1-mini. About the Role As a member of the architecture team, you will push the frontier of architecture development for OpenAI's flagship models, enhancing intelligence, efficiency, and adding new capabilities. Ideal candidates have a deep understanding of LLM architectures, a sophisticated understanding of model inference, and a hands-on empirical approach. A good fit for this role will be equally happy coming up with a creative breakthrough, investing in strengthening a baseline, designing an eval, debugging a thorny regression, or tracking down a bottleneck. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Design, prototype and scale up new architectures to improve model intelligence - Execute and analyze experiments autonomously and collaboratively - Study, debug, and optimize both model performance and computational performance - Contribute to training and inference infrastructure You might thrive in this role if you: - Have experience landing contributions to major LLM training runs - Can thoroughly evaluate and improve deep learning architectures in a self-directed fashion - Are motivated by safely deploying LLMs in the real world - Are well-versed in the state of the art transformer modifications for efficiency About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and pr

About the Team The Human Data team turns human feedback into reliable signals for training and evaluation. We design and run end-to-end programs that capture the depth of human intent behind everyday and high-stakes uses of our models. Our remit spans bespoke data campaigns, scalable synthetic data generation, and product-embedded signals. We partner closely across all research teams to translate these signals into training datasets, novel evaluations, and feedback loops that push the frontier of our models and advance their applications. About the Role As a Program Manager (PGM) in the Human Data team you will partner with our research teams, operations and engineering to execute complex programs for collecting high-quality data. You will be a key interface between our external vendors and AI trainers, ensuring human data campaigns are successfully completed. Your work will play a key role in enabling OpenAI to train safe models that will land in the real world This role is based in our San Francisco HQ. In this role, you will: - Work in a high velocity environment, where the outcome of your work will have a direct impact on the models that OpenAI deploy in the real world - Work closely with external vendors, trainers and internal researchers to collect, review, and deliver high-quality data - Gather requirements, write instructions, define success criteria, and calibrate the AI trainers - Use internal tooling to assess labeled data and provide feedback to AI trainers - Think critically and share recommendations on tooling and process improvements, optimizing for quality, throughput, and AI trainer experience You’ll thrive in this role if: - You thrive in dynamic environments. You are comfortable navigating ambiguity, managing shifting priorities, and adapting to fast-paced changes without missing a beat. - You’re curious about AI, LLMs, Agents. While not required, an interest or background in these areas will help you connect the dots in our broader mission. - You have a can-do attitude. You don’t shy away from rolling up your sleeves and tackling the "grunt work" with the same enthusiasm as high-visibility tasks. - You’re an excellent communicator. You love bringing people together, fostering collaboration, and providing clarity in complex situations. Your empathetic approach helps you understand different perspectives and build strong, trusting relationships. - You are resilient and flexible. Setbacks don’t rattle you. You bounce back quickly, adjust strategies as needed, and maintain a positive, solution-oriented mindset. - You’re super organized amidst chaos. Even when things are moving quickly, you keep track of details, manage competing demands, and bring structure to complexity. - You enjoy operational work. While you might have an interest in broader topics like safety, you find satisfaction in executing operational tasks efficiently and effectively. - You have a knack for data. You've gone beyond basic data annotation and have hands-on experience with data analytics, using insights to inform decisions and improve processes. - You’re energized by start-up environments. If you enjoy the hustle, resourcefulness, and rapid iteration typical of start-ups, you’ll feel right at home. - You have some relevant experience. Ideally, you have at least 1-2 years of relevant experience and are eager to grow within a role that challenges and develops your skills. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not

ABOUT THE TEAM OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. ROLE SUMMARY We are seeking a Networking Operating System Firmware Engineer to help bootstrap and scale the switching layer of our AI supercomputers. In this role, you will build and maintain custom NOS images from scratch, using open source components from SONiC, SAI, FRR, and related networking stacks while working across the Linux kernel, switch ASIC SAI/SDKs, platform drivers, control-plane services, and orchestration layers. This is a software engineering role that requires a deep understanding of networking, NOS internals, switch hardware, and production systems. You will design, implement, test, and debug production NOS software across platform drivers, routing and control-plane state, ASIC programming, observability, and fleet integration. The engineer in this role should be able to work through ambiguous, open-ended technical problems and drive feature development across software, hardware, and vendor boundaries. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. IN THIS ROLE, YOU WILL - Design, develop, and maintain custom NOS images for large-scale AI fabrics, using open source components from SONiC, FRR, and related networking stacks. - Integrate, build and configure Linux kernel components, device drivers, switch ASIC SDKs, and SAI layers. - Bring up new switch platforms, including thermal and fan control, power monitoring, transceiver management, watchdogs, OSFP CMIS, LEDs, CPLDs, and board-specific platform logic. - Extend and customize NOS services for routing, telemetry, control-plane state, and distributed automation. - Implement and debug route, neighbor, next-hop, and ECMP programming flows from control-plane intent through ASIC hardware state. - Build software mechanisms that distinguish control-plane acceptance, SAI/SDK acceptance, and explicit hardware programming acknowledgement. - Work with hardware teams to validate ASIC configurations, link bring-up, SerDes tuning, buffer profiles, and performance baselines. - Evaluate switch silicon SDK releases, track vendor deliverables, and validate platform requirements with vendors and ASIC partners. - Debug complex issues spanning kernel drivers, platform monitoring, NOS services, routing agents, orchestration services, hardware signals, ASIC state, and network topology. - Integrate switches into fleet-wide monitoring, remote diagnostics, telemetry pipelines, and automated lifecycle workflows. - Develop robust CI/build pipelines for reproducible NOS builds and controlled rollout across the fleet. - Support factory bring-up and qualification all the way through mass deployment. - Collaborate on networking protocols and technologies that improve performance and reliability at AI factory scale. YOU MIGHT THRIVE IN THIS ROLE IF YOU HAVE - Proven experience working with SONiC or comparable NOS stacks such as FBOSS, Cumulus Linux, Arista EOS, Junos PFE-level integration, or equivalent platform software. - Strong software engineering fundamentals: clear interfaces, data models, state-machine design, error handling, testing, observability, performance debugging, and maintainable C/C++, Python, Go or Rust code. - Experience with Linux kernel internals, network device drivers, platform drivers, hwmon, I2C/SMBus, CPLDs, or board-level platform software. - Experience integrating or debugging Broadcom, Marvell, NVIDIA, Intel, or comparable switch ASIC SDKs and SAI implementations. - U

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We are seeking an experienced SoC Architect to lead the definition and development of next-generation custom AI silicon for edge deployments. This role will be responsible for shaping the architecture of highly efficient, high-performance SoCs optimized for machine learning inference and on-device intelligence. You will work cross-functionally with internal engineering teams and external ecosystem partners to translate product requirements into scalable silicon solutions, driving execution from concept through delivery. In this role you will: - Define the architecture and technical roadmap for custom SoCs targeted for edge applications. - Drive system-level tradeoff analysis across compute, memory, interconnect, power, thermal, and cost constraints. - Architect energy-efficient ML compute subsystems optimized for inference workloads and real-world deployment environments. - Collaborate with internal hardware, software, systems, and product teams to align architecture with platform needs. - Partner with external silicon vendors, IP providers, and manufacturing partners to execute development plans. - Lead hardware/software co-design efforts to maximize performance per watt and end-to-end system efficiency. - Guide implementation teams through microarchitecture, RTL development, validation, and bring-up phases. - Operate effectively in agile development environments and help teams deliver against aggressive schedules and milestones. You might thrive in this role if: - Proven experience defining and delivering complex SoC or ASIC architectures from concept to production. - Deep understanding of AI/ML accelerators, edge inference workloads, and energy-efficient compute design. - Strong knowledge of SoC subsystems including CPU/GPU/NPU architectures, memory hierarchies, interconnects, and power management. - Experience working with both internal engineering organizations and external strategic partners. - Ability to lead cross-functional teams in fast-paced, execution-driven environments. - Strong communication skills with the ability to influence technical direction across organizations. Preferred Qualifications - Experience with edge AI devices, embedded systems, or consumer hardware platforms. - Background in performance modeling, silicon cost optimization, and workload-driven architecture. - Familiarity with advanced process nodes and modern semiconductor development flows. To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statem

ABOUT THE TEAM Preparedness is a critical Safety Research team at OpenAI, which is focused on mitigating AI threats to global security https://openai.com/index/updating-our-preparedness-framework/ that could scale to an extreme level of severity. Our work involves: 1. Measurement. Monitoring and predicting the evolving capabilities of frontier AI systems. 2. Mitigation. Keeping misuse safeguards, alignment tools, and security measures on track to adequately address extreme threats that might arise in the future. 3. Coordination. Setting mitigation targets by maintaining OpenAI’s preparedness framework https://openai.com/index/updating-our-preparedness-framework/, and partnering with other staff to achieve these targets. This is urgent, fast-paced work that has far-reaching implications for the company and for society. ABOUT THE ROLE Models are becoming increasingly capable—moving from tools that assist humans to agents that can plan, execute, and adapt in the real world. As we push toward AGI, cybersecurity becomes one of the most important and urgent frontiers: the same systems that can accelerate productivity can also accelerate exploitation. As a Researcher for cybersecurity risks, you will help design and implement an end-to-end mitigation stack to reduce severe cyber misuse across OpenAI’s products. This role requires strong technical depth and close cross-functional collaboration to ensure safeguards are enforceable, scalable, and effective. You’ll contribute directly to building protections that remain robust as products, model capabilities, and attacker behaviors evolve. IN THIS ROLE, YOU WILL: - Design and implement mitigation components for model-enabled cybersecurity misuse—spanning prevention, monitoring, detection, and enforcement—under the guidance of senior technical and risk leadership. - Integrate safeguards across product surfaces in partnership with product and engineering teams, helping ensure protections are consistent, low-latency, and scale with usage and new model capabilities. - Evaluate technical trade-offs within the cybersecurity risk domain (coverage, latency, model utility, and user privacy) and propose pragmatic, testable solutions. - Collaborate closely with risk and threat modeling partners to align mitigation design with anticipated attacker behaviors and high-impact misuse scenarios. - Execute rigorous testing and red-teaming workflows, helping stress-test the mitigation stack against evolving threats (e.g., novel exploits, tool-use chains, automated attack workflows) and across different product surfaces—then iterate based on findings. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have a passion for AI safety and are motivated to make cutting-edge AI models safer for real-world use. - Bring demonstrated experience in deep learning and transformer models. - Are proficient with frameworks such as PyTorch or TensorFlow. - Possess a strong foundation in data structures, algorithms, and software engineering principles. - Are familiar with methods for training and fine-tuning large language models, including distillation, supervised fine-tuning, and policy optimization. - Excel at working collaboratively with cross-functional teams across research, security, policy, product, and engineering. - Have significant experience designing and deploying technical safeguards for abuse prevention, detection, and enforcement at scale. - (Nice to have) Bring background knowledge in cybersecurity or adjacent fields. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectr

This role will support the fleet infrastructure team at OpenAI. The fleet team focuses on running the world’s largest, most reliable, and frictionless GPU fleet to support OpenAI’s general purpose model training and deployment. Work on this team ranges from - Maximizing GPUs doing useful work by building user-friendly scheduling and quota systems - Running a reliable and low maintenance platform by building push-button automation for kubernetes cluster provisioning and upgrades - Supporting research workflows with service frameworks and deployment systems - Ensuring fast model startup times though high performance snapshot delivery across blob storage down to hardware caching - Much more! About the Role As an engineer within Fleet infrastructure, you will design, write, deploy, and operate infrastructure systems for model deployment and training on one of the world’s largest GPU fleet. The scale is immense, the timelines are tight, and the organization is moving fast; this is an opportunity to shape a critical system in support of OpenAI's mission to advance AI capabilities responsibly. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Design, implement and operate components of our compute fleet including job scheduling, cluster management, snapshot delivery, and CI/CD systems. - Interface with researchers and product teams to understand workload requirements - Collaborate with hardware, infrastructure, and business teams to provide a high utilization and high reliability service You might thrive in this role if you: - Have experience with hyperscale compute systems - Possess strong programming skills - Have experience working in public clouds (especially Azure) - Have experience working in Kubernetes - Execution focused mentality paired with a rigorous focus on user requirements - As a bonus, have an understanding of AI/ML workloads About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data sec

About the Team The Solutions Engineering team is made up of trusted technical advisors who help organizations adopt OpenAI’s technology safely, effectively, and responsibly. We partner closely with customers, Sales, Product, Engineering, and Security to translate frontier AI capabilities into practical workflows that create real-world impact. Cybersecurity is one of the most urgent areas where AI can help. As frontier models become more capable at reasoning over code, logs, infrastructure, and security evidence, organizations need guidance on how to evaluate, validate, and deploy these systems safely. Our goal is to help customers move from identifying risks to implementing solutions. About the Role We are committed to bringing together people from diverse backgrounds and perspectives who are excited to help build and deploy safe, useful AI. We are seeking a solutions engineer to partner with our Enterprise customers and ensure they achieve tangible business value from our models through the OpenAI suite of products. You will partner with senior business stakeholders to understand their pre-sales needs, guide their AI strategy, and identify the highest value use cases and applications. You will work with business and technical teams to demonstrate the value of our solutions and recommend architectural patterns to kickstart their implementation and development. You will work closely with Enterprise Sales, Security, and Product teams. We are looking for a Field Security Specialist to help security leaders and hands-on practitioners understand how OpenAI models, APIs, Codex, and agentic workflows can be applied to real cybersecurity use cases. This is a customer-facing specialist role for someone who can move fluidly between CISO-level conversations, practitioner-level technical depth, and hands-on solution design. You’ll help customers evaluate OpenAI for workflows like secure code review, vulnerability triage, threat modeling, remediation, SOC workflows, detection engineering, and security validation. You will be the field’s cyber expert: shaping discovery, demos, pilots, reference architectures, implementation guidance, and repeatable assets that help customers adopt AI safely in high-stakes security environments. In this role, you will: - Lead cyber workflow discovery with customers across AppSec, DevSecOps, vulnerability management, SOC/IR, detection engineering, red team, cloud security, and GRC automation. - Build and deliver customer-facing demos, workshops, proofs of concept, and reference architectures for AI-enabled security workflows. - Scope pilots with clear success criteria, data requirements, integrations, evaluation methods, safety boundaries, and human approval points. - Advise customers on safe implementation patterns, including tool/function calling, structured outputs, sandboxing, data handling, guardrails, auditability, and approval-gated side effects. - Translate between executive buyers and hands-on security practitioners, helping each audience understand value, risk, and practical next steps. - Create reusable field assets such as demo narratives, playbooks, FAQs, objection handling, qualification guides, assessment templates, and competitive positioning. - Bring recurring customer requirements, product gaps, blockers, and high-value cyber workflows back to Product, Engineering, Security, and GTM teams. You might thrive in this role if you: - Have deep practitioner credibility across cybersecurity domains such as application security, cloud security, identity, vulnerability management, secure SDLC, incident response, detection engineering, or attacker tradecraft. - Have worked in a customer-facing, advisory, consulting, solutions engineering, security architecture, or technical field role. - Can build credible demos or prototypes using APIs, Codex, agents, scripts, CLIs, GitHub workflows, CI/CD systems, logs, tickets, scanners, or other common security tooling. - Understand how to design AI workflows with

About the team The AI Deployment Engineering team works closely with frontier startups. We are trusted advisors to, and thought partners with, startups to ensure that OpenAI’s technology is deployed safely and effectively, whilst also partnering with engineering, research, and product to turn those insights into evaluation systems, product improvements, and better model behavior. This team sits at the intersection of customer reality and model quality. We combine hands-on technical depth with strong product judgment, helping translate complex, high-value use cases into clear signals that can improve both the customer experience and the underlying systems. This role is based in Paris. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. We require fluency in French for this role. About the role We are seeking a technically proficient, product-minded engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, helping them optimize their own systems and turning those learnings into durable improvements across OpenAI’s research and products. You will partner deeply on complex workflows, identify the gaps that matter, and help transform those gaps into reproducible evaluations, technical insights - helping shape OpenAI's research and product direction. This role is well suited to engineers who are equally comfortable debugging a workflow, iterating on prompts or agents, designing evaluations, and collaborating across research and product. You should be excited by ambiguous, high-impact problems and motivated by the opportunity to shape how advanced AI systems improve in practice. In this role, you will: - Work directly with strategic startup customers to understand critical workflows, uncover failure modes, and identify high-impact opportunities for improvement. - Prototype and iterate on prompts, agents, and workflow designs to better understand system behavior and unlock customer value. - Synthesize and deliver valuable feedback to the Product and Research teams, turning real usage patterns into clear, reproducible evals, benchmarks, and technical artifacts that improve model and product quality and ensure customer-grounded learnings influence roadmap and model development. - Build repeatable tools, patterns, and evaluation approaches that raise the quality bar across multiple use cases. - Operate with strong judgment in ambiguous environments, balancing immediate technical problem-solving with longer-term system improvement. - Build relationships within the startup ecosystem, serving as a technical partner to both individual customers and the broader community. You’ll thrive in this role if you: - Have strong software engineering & AI fundamentals. For example, experience as a startup CTO, software engineer, ML engineer, Data Scientist or equivalent. Experience shipping production systems end-to-end is a strong plus. - Have experience as a technical founder, or engineer at an early stage startup - Have familiarity with, or interest in, model training pipelines and reinforcement learning. - Have experience building AI applications, agents, or evaluation systems, and can reason clearly about model behavior in complex workflows. - Are comfortable working directly with highly technical users and translating their challenges into concrete technical signals. - Can move fluidly between prototyping, debugging, evaluation design, and cross-functional collaboration. - Communicate clearly across technical and non-technical audiences. - Bring high agency, strong product sense, and a bias toward building durable improvements rather than one-off fixes About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world throug

About the Team GTM Growth Engineering builds autonomous and semi-autonomous AI systems that help OpenAI's go-to-market organization operate at massive scale. We design agents and product systems that reason over messy GTM context, identify high-value opportunities, prioritize accounts and leads, route judgment-heavy work, take routine actions, and learn from every outcome. Our mandate is revenue leverage: systems directly tied to pipeline quality, revenue execution, sales productivity, and the speed at which OpenAI can bring its products to the world. The work sits at the intersection of product engineering, applied AI, data, and GTM operations. The team builds the infrastructure and user experiences for agentic revenue workflows: signal quality, prioritization, routing, attribution, review queues, feedback loops, evals, and measurement. We focus on problems that need native product craft, deep system integration, and high standards for autonomy, reliability, safety, privacy, and operational simplicity. About the Role We're looking for a product engineer to help build highly autonomous agentic systems for GTM Growth Engineering. You will own meaningful product slices end to end: agent workflows, user experience, frontend implementation, backend APIs and services, data and state models, model and tool integrations, telemetry, evals, and launch readiness. This is a role for engineers who want to build AI systems that do real work in production. You will partner with product, design, data, research, operations, and customer-facing teams to understand high-value workflows, define success metrics, and ship systems that improve pipeline quality, revenue execution, sales productivity, operational throughput, customer experience, and learning velocity. The role is ideal for a strong product engineer who can move between product craft, agent behavior, systems engineering, and measurable business outcomes. You should be excited to build from ambiguous problem statements, ship quickly, and harden systems that operate with increasing autonomy at scale. What You'll Do - Build autonomous and semi-autonomous GTM systems that identify opportunities, recommend or take next actions, route work, and learn from outcomes at scale. - Own full-stack product slices from prototype through launch, hardening, instrumentation, evals, and iteration. - Design agent workflows that combine LLM reasoning, tools, structured data, human oversight, and feedback loops. - Create intuitive surfaces for humans to supervise, review, correct, and improve AI-driven workflows. - Build reliable backend services, APIs, data flows, and stateful product surfaces that integrate with internal tools and customer-facing systems. - Design feedback loops, evals, quality metrics, and launch-readiness criteria for AI systems that affect revenue and pipeline outcomes. - Partner with product, design, data, research, sales, marketing, operations, support, and other GTM stakeholders to ship trustworthy products. - Instrument the experience so we can understand usage, friction, quality, adoption, business impact, and operational health. - Make pragmatic tradeoffs across autonomy, speed, quality, scalability, privacy, safety, and supportability in 0-to-1 product areas. What We're Looking For - Have 4+ years of experience as a software, product, or full-stack engineer building high-quality user-facing products. - Strong frontend or full-stack engineering skills, with comfort across modern web apps, APIs, data models, stateful user flows, and instrumentation. - Strong product judgment and a track record of turning ambiguous ideas into shipped product. - Experience building in 0-to-1 or fast-moving product environments where user needs, product shape, and success metrics are still being discovered. - Excitement about building AI systems that take action, use tools, make recommendations, coordinate with humans, and improve from feedback. - A high bar for UX quality, interaction details, acce

About the Team The ChatGPT organization at OpenAI supports our mission by bringing advanced AI capabilities to hundreds of millions of users worldwide. The Image Generation team is responsible for one of the fastest-growing experiences in ChatGPT, enabling users to create, edit, and transform images through natural language. Recent breakthroughs in multimodal AI have dramatically improved image quality, instruction following, editing precision, consistency, and text rendering. We're building the systems and experiences that turn these research advances into products used daily by creators, professionals, businesses, and consumers around the world. Our team sits at the intersection of research, product, design, and infrastructure. We work closely with model researchers, mobile engineers, frontend engineers, and platform teams to build intuitive experiences and scalable systems that power image generation at global scale. Whether users are creating marketing assets, visualizing ideas, editing photos, designing products, or simply exploring their creativity, our goal is to make visual creation feel as natural as having a conversation. About the Role We are looking for an experienced Full Stack Engineer to join the Image Generation team and help shape the future of AI-powered visual creation. In this role, you'll own features end-to-end across both frontend and backend systems, building the experiences that enable users to generate, edit, organize, and interact with images inside ChatGPT. You'll work across the entire stack—from highly interactive user interfaces and real-time workflows to backend services, APIs, orchestration systems, and data infrastructure. This role is ideal for engineers who enjoy moving fluidly between product development and systems engineering, collaborating closely with design, product, and research teams to rapidly bring new AI capabilities to users. You'll help define entirely new interaction paradigms as multimodal AI continues to evolve. In this role, you will: - Design, build, and launch end-to-end product experiences for image generation and image editing within ChatGPT. - Develop highly interactive frontend experiences that make sophisticated AI capabilities feel intuitive, fast, and delightful. - Build scalable backend services, APIs, and workflows that power image creation, editing, storage, sharing, and retrieval. - Partner closely with researchers to rapidly prototype and productionize new multimodal capabilities. - Collaborate with Product, Design, Data Science, and Engineering teams to identify high-impact opportunities and execute against them. - Own projects from concept through launch, including technical design, implementation, experimentation, measurement, and iteration. - Optimize performance across the stack, from frontend responsiveness and rendering to backend latency, reliability, and scalability. - Design systems that can support millions of users generating and interacting with visual content simultaneously. - Leverage experimentation and user insights to improve engagement, usability, quality, and product outcomes. - Contribute to engineering best practices around architecture, testing, observability, developer productivity, and operational excellence. - Help define the future roadmap for AI-powered creative tools and visual experiences. You might thrive in this role if you: - Have experience building and shipping production-grade applications across both frontend and backend systems. - Are comfortable working with modern web technologies such as React, TypeScript, and contemporary frontend frameworks. - Have experience building scalable backend services, APIs, and distributed systems. - Enjoy owning products end-to-end and can seamlessly move between user experience challenges and infrastructure decisions. - Have strong product instincts and enjoy thinking deeply about how users interact with technology. - Are highly analytical and comfortable using experimentation, metrics, and

About the Team The GTM (Go-To-Market) Innovation team is an internal powerhouse revolutionizing how we engage customers through groundbreaking applications of our technology. As an incubator, we amplify the impact of Sales, Technical Success, Enablement, and Revenue Operations by deploying our technology at scale. This team applies advanced capabilities to real-world interactions — reshaping conversations with customers, learning from every exchange, and finding novel ways to show the value of our technology. About the Role We’re looking for Full Stack software engineers with a product mindset to join the GTM Innovation team. As a product engineer on this team, you’ll help OpenAI meet the world at scale. You’ll partner closely with go-to-market teams to understand their workflows, identify leverage points, and ship novel solutions using OpenAI’s API platform. You’ll move quickly from prototype to production, and your work will directly shape how customers experience our technology in the field. This role is ideal for engineers who want to be close to users, own end-to-end outcomes, and help define entirely new categories of enterprise software. In this role, you will: - Build high-impact applications and tools that accelerate OpenAI’s go-to-market efforts - Work across the full product lifecycle for GTM: prototype, iterate, ship, and maintain - Embed with Sales, Technical Success, and Revenue Operations to identify user needs and build for them - Apply OpenAI’s models in novel ways to solve real-world customer and internal workflow problems - Translate learnings into feedback for Applied and Research teams to inform product development You’ll thrive in this role if you: - Have 4+ years of experience as a software/ML/product engineer working on user-facing systems - Former founder, or early engineer at a startup who built a product from scratch is a plus - Are fluent in Python or JavaScript and comfortable building full-stack applications - Have built or prototyped LLM-powered workflows using the OpenAI API (or similar) - Take initiative, move quickly, and operate with a strong sense of ownership - Enjoy working closely with end users and shaping 0→1 products - Are collaborative, curious, and motivated to make an outsized impact at the frontier of AI About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (

About the Team OpenAI’s mission is to build safe artificial general intelligence (AGI) that benefits all of humanity. Achieving this requires bringing the world’s most exceptional talent under one roof to push the boundaries of what’s possible. Our Research Recruiting team plays a critical role in this effort. We are an embedded part of the research organization, working side by side with our research staff to deeply understand evolving priorities, build trust, and strategically shape the future of OpenAI’s talent. About the Role You will own and execute long-term talent strategies to identify, engage, and recruit many of the world’s leading and emerging AI researchers, research engineers, and technical scientists working at the frontier of machine learning. This is not a traditional execution-focused recruiting role. You will operate as a strategic partner to OpenAI’s research staff, helping define hiring priorities, shape search strategy, influence candidate evaluation, and guide hiring decisions that directly impact the direction and quality of our frontier-model research and fulfillment of our mission. In this role, you will: - Partner directly with research and technical staff to define hiring priorities, shape search strategies, and anticipate future talent needs as technical roadmaps evolve. - Proactively identify and cultivate exceptional AI/ML research talent across industry, academia, and emerging labs, often before formal hiring needs exist. - Use market insights and candidate signals to influence hiring decisions, leveling, and compensation strategy for highly specialized research roles. - Serve as a trusted advisor throughout candidate evaluation and closing — helping leaders calibrate for research excellence, long-term potential, and organizational fit. - Collaborate closely with your sourcing partner to execute complex, high-impact searches in ambiguous or rapidly evolving technical domains. You might thrive in this role if you: - Significant experience recruiting within highly technical or specialized environments. - Deep interest in AI research and a desire to engage directly with global research communities. - Experience recruiting within highly technical or specialized environments such as ML/AI, distributed systems, infrastructure, scientific computing, or quantitative research. - Track record of leading complex, ambiguous technical searches from early talent mapping through close. - Experience navigating high-stakes negotiations with senior technical or research candidates. - Comfort operating in fast-moving environments where hiring priorities and role definitions may evolve over time. Workplace & Location This role is based in our London office and we aren’t considering remote applications at this time. We use a hybrid work model of 3 days in the office with optional work from home on Thursdays and Fridays. We also offer relocation assistance to new employees. Our open-plan offices have height-adjustable desks, conference rooms, phone booths, well-stocked kitchens full of snacks and drinks, three in-house prepared meals daily, outdoor space for working and socializing, wellness rooms, private bike storage, and more. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional informat

ABOUT THE TEAM Safety Systems sits at the forefront of OpenAI’s mission to build and deploy safe AGI, ensuring our most capable models can be released responsibly and for the benefit of society. Within Safety Systems, we are building a misalignment research team to focus on the most pressing problems for the future of AGI. Our mandate is to identify, quantify, and understand future AGI misalignment risks far in advance of when they can pose harm. The work of this research taskforce spans four pillars: 1. Worst‑Case Demonstrations – Craft compelling, reality‑anchored demos that reveal how AI systems can go wrong. We focus especially on high importance cases where misaligned AGI could pursue goals at odds with human well being. 2. Adversarial & Frontier Safety Evaluations – Transform those demos into rigorous, repeatable evaluations that measure dangerous capabilities and residual risks. Topics of interest include deceptive behavior, scheming, reward hacking, deception in reasoning, and power-seeking, along with other related areas. 3. System‑Level Stress Testing – Build automated infrastructure to probe entire product stacks, assessing end‑to‑end robustness under extreme conditions. We treat misalignment as an evolving adversary, escalating tests until we find breaking points even as systems continue to improve. 4. Alignment Stress‑Testing Research – Investigate why mitigations break, publishing insights that shape strategy and next‑generation safeguards. We collaborate with other labs when useful and actively share misalignment findings to accelerate collective progress. About the Role We are seeking a Senior Researcher who is passionate about red‑teaming and AI safety. In this role you will design and execute cutting‑edge attacks, build adversarial evaluations, and advance our understanding of how safety measures can fail—and how to fix them. Your insights will directly influence OpenAI’s product launches and long‑term safety roadmap. IN THIS ROLE, YOU WILL - Design and implement worst‑case demonstrations that make AGI alignment risks concrete for stakeholders, focused on high stakes use cases described above. - Develop adversarial and system‑level evaluations grounded in those demonstrations, driving adoption across OpenAI. - Create automated tools and infrastructure to scale automated red‑teaming and stress testing. - Conduct research on failure modes of alignment techniques and propose improvements. - Publish influential internal or external papers that shift safety strategy or industry practice. We aim to concretely reduce existential AI risk. - Partner with engineering, research, policy, and legal teams to integrate findings into product safeguards and governance processes. - Mentor engineers and researchers, fostering a culture of rigorous, impact‑oriented safety work. YOU MIGHT THRIVE IN THIS ROLE IF YOU - Already are thinking about these problems night and day, and share our mission to build safe, universally beneficial AGI and align with the OpenAI Charter. - Have 4+ years of experience in AI red‑teaming, security research, adversarial ML, or related safety fields. - Possess a strong research track record—publications, open‑source projects, or high‑impact internal work—demonstrating creativity in uncovering and exploiting system weaknesses. - Are fluent in modern ML / AI techniques and comfortable hacking on large‑scale codebases and evaluation infrastructure. - Communicate clearly with both technical and non‑technical audiences, translating complex findings into actionable recommendations. - Enjoy collaboration and can drive cross‑functional projects that span research, engineering, and policy. - Hold a Ph.D., master’s degree, or equivalent experience in computer science, machine learning, security, or a related discipline (nice to have but not required). About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push t

ABOUT THE TEAM OpenAI's mission is to ensure that artificial general intelligence benefits all of humanity. The Consumer Devices team is building a new generation of AI-powered products that seamlessly integrate hardware and software to create intuitive, transformative experiences. We bring together experts across embedded systems, machine learning, hardware, design, and product engineering to develop products at the intersection of AI and consumer technology. ABOUT THE ROLE OpenAI is seeking a System Power Engineer to characterize, measure, and optimize power consumption across our embedded hardware products. In this role, you will work closely with Electrical Engineering and system software teams to build power test automation, measure subsystem-level power usage, and drive improvements that directly impact battery life, thermal behavior, charging performance, and system reliability. You will help establish the methodologies and metrics used to understand and improve power efficiency across real-world product experiences, from controlled lab environments to representative day-in-the-life usage scenarios. This role requires hands-on experience with embedded hardware platforms, power instrumentation, and the analysis of power profiles and system behavior. This role is based in San Francisco, CA. We use a hybrid work model of four days per week in the office and one day working remotely. Relocation assistance is available for new hires. IN THIS ROLE, YOU WILL: - Define and develop power testing automation to evaluate system behavior across a range of workloads and operating conditions. - Measure subsystem-level power consumption using power breakout probes and other lab instrumentation. - Develop and execute power characterization tests spanning basic workloads, complex mixed-use scenarios, and representative day-of-use experiences. - Partner closely with Electrical Engineers to identify opportunities to improve system power efficiency. - Collaborate with software engineering teams to optimize energy usage in scenarios that impact battery life, device temperature, charging performance, and overall user experience. - Define repeatable power benchmarks and measurement methodologies to assess launch readiness and track performance throughout the product lifecycle. YOU MIGHT THRIVE IN THIS ROLE IF YOU HAVE: - Experience measuring and optimizing power consumption on embedded hardware platforms. - Demonstrated experience designing and operating complex hardware-in-the-loop laboratories and orchestrating device testing at scale. - Experience analyzing power profiles and correlating them with overall system performance. - Experience collaborating cross-functionally with Electrical Engineering, embedded software, systems, and product teams. - Experience defining repeatable power benchmarks and launch readiness metrics for hardware products. - Strong proficiency in Python, experience in C/C++ PREFERRED QUALIFICATIONS - Familiarity with statistics, experimentation methodologies, or data science concepts. - Experience performing subsystem-level power measurements using power breakout probes or similar lab instrumentation. - Experience working with battery-powered consumer products and optimizing for battery life, thermals, and charging performance. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability,

About the Team The Post-Training Frontiers team creates the frontier agents OpenAI ships to the world. We do the reinforcement learning training for the agentic models we ship in Codex, ChatGPT, and the API (from o1 to 5.5). Our role consists of (1) shepherding all integrations that should go into the final RL run and deciding what can make it in, (2) babysitting and scaling the final run, and (3) building the research and infra for horizontal integrations, such as improving function calling, factuality, multi-agent capabilities, memory, calibrated thinking, etc. About the Role This role focuses on keeping our frontier RL training runs fast, reliable, and unblocked. You will work across engineering and infrastructure problems as they emerge, from scaling and orchestration issues to inference bottlenecks, numerical problems, and hardware failures, as well as supporting large horizontal integrations in the big run, like multi-agent capabilities or memory. This is a role for a strong generalist who quickly learns anything needed for the task, has high attention to detail, debugs deeply, and is motivated by fixing the highest-impact problem in front of the team. In this role, you will: - Keep large-scale RL training runs moving by jumping into the most urgent engineering and infrastructure problems. - Debug issues across training systems, inference, orchestration, scaling, and distributed infrastructure. - Solve hard technical problems at the boundary between research and engineering: scaling experiments, improving training reliability, debugging distributed systems, reducing latency and cost, and making new capabilities robust under real workloads. - Improve reliability and efficiency for RL training runs. - Help researchers who are developing infra-heavy integrations, such as multi-agent capabilities or memory. - Turn recurring operational issues into better tools, systems, processes, or abstractions. - Work closely with research, infrastructure, and partner teams during tight model run timelines. - Become useful quickly in messy, ambiguous areas where ownership matters more than a perfectly scoped project. - Debug failures that cut across model behavior, training data, RL systems, evaluation infrastructure, serving systems, and agent harnesses, then turn those failures into hypotheses, fixes, and durable improvements. You might thrive in this role if you: - Want to train and ship our frontier models and ensure we make agents genuinely useful for developers, enterprises, researchers, and everyday users. - Are a strong generalist engineer with experience in some layer of ML infrastructure. - Have worked on RL, inference, scaling, training systems, orchestration, or adjacent ML infrastructure. - Learn extremely quickly and are comfortable operating across unfamiliar layers. - Are a strong debugger with high ownership, low ego, and excellent communication. - Can land in a messy area with tight timelines, become useful quickly, and gradually raise the quality of the whole system. - Are energized by fast-moving environments where reliability, speed, and judgment matter. - Like building load-bearing systems and processes when that is what the team needs, even if the work is not glamorous. Nice to have: - Experience supporting large-scale model training, async RL systems, or high-throughput ML infrastructure. - Experience debugging distributed systems across GPUs, networking, orchestration, or inference stacks. - Background in performance optimization, scaling, or production-critical infrastructure. - Experience working directly with researchers or fast-moving model teams. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its cor

About the Team The Online Data team builds and operates the core online database and indexing services for OpenAI’s production AI applications, including supporting the explosive growth of ChatGPT, the #1 AI app in the world, and Codex, the fastest growing agentic development toolset in the world. Our mission is to ensure the reliability, correctness, and scalability of our online data stack and to curate a comprehensive portfolio of services that matches the relentless ambition of OpenAI, enabling our product and research teams to build 0-100 without getting bogged down in the minutiae of multi-region, multi-cloud, exabyte-scale data infrastructure. About the Role We are seeking an Engineering Manager to lead our Online Data Systems team, responsible for our in-house database and indexing technology. This role is about shepherding a team of world-class engineers tasked with building and operating hyperscale data storage and retrieval technology. You’ll be overseeing the delivery of extremely challenging engineering work in areas like distributed query execution, multi-region federation, self-orchestrating and self-healing services, low-level performance optimization, and more. There are few companies in the world building this kind of technology in-house at this scale where you’ll still be getting in on the ground floor. Instead of being a cog in the machine spending months chasing small optimizations, you’ll play a major part of shaping our future. In this role, you will: - Build, lead, and grow high-performing infrastructure engineering teams. - Drive the evolution of OpenAI’s in-house online data technologies, our core, hyper-scale database systems, indexing technologies, and vector search. - Anchor delivery around measurable reliability goals (SLOs, etc) to ensure system performance and resiliency is above reproach. - Champion pragmatic use of agent technology to amplify execution velocity. - Reduce operational toil and incident frequency through better abstractions, guardrails, and self-healing systems. You might thrive in this role if you: - Have a truly insatiable spirit for operational excellence, demonstrated by having your hands-on in building and operating infrastructure with strict reliability, latency, and security requirements. - Have experience managing data-intensive software engineering teams in intense, demanding environments. - Bring deep hands-on understanding of database, indexing, storage, and distributed systems technologies. - Effectively modulate your technical engagement to create space for a highly technical team to lead and grow. - Have a demonstrable track record of hiring, developing, and retaining senior engineers. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chanc

ABOUT THE TEAM Preparedness is a critical Safety Research team at OpenAI, which is focused on mitigating AI threats https://openai.com/index/updating-our-preparedness-framework/ that could scale to an extreme level of severity. Our work involves: - Tracking and prediction. Monitoring https://openai.com/index/how-we-monitor-internal-coding-agents-misalignment/ and predicting the evolving misalignment propensities and capabilities of frontier AI systems. - Mitigation. Keeping misuse safeguards, alignment tools, and security measures on track to adequately address extreme threats that might arise in the future. - Coordination. Setting mitigation targets by maintaining OpenAI’s preparedness framework, and partnering with other staff to achieve these targets. This is urgent, fast-paced work that has far-reaching implications for the company and for society. ABOUT THE ROLE Preparedness is hiring strong technical executors to support preparations for recursive self-improvement. This work relies on reasoning about problems that might exist in the future, but might not exist now; so it’s especially important that people in this role are tasteful and strategic. The role is wide-ranging, covering any mitigation for loss of control risk, spanning the design and implementation of better pre-deployment risk-assessment https://alignment.openai.com/prod-evals/, control measures, RSI-relevant training interventions, and turning one’s technical work into established institutional practices. Below is a subset of our focus areas: - Scalable oversight: Establishing practices for model misbehavior monitoring and oversight which remain effective in superhuman model capability regimes, with a focus on bridging from today’s monitoring approaches to future-proof ones. - Automated auditing: As model capabilities increase, we’ll increasingly rely on automated approaches for finding the most severe forms of model misalignments. We’ll both need to sift through large swaths of production traffic https://openai.com/index/how-we-monitor-internal-coding-agents-misalignment/ to find the most egregious misalignments, and reliably elicit tail risks before deployment. - Rigorous monitorability: Rigorous testing and red-teaming of our measurements of model misbehavior related to loss-of-control (e.g. reward hacking, sandbagging, scheming). This includes better https://arxiv.org/abs/2603.05706 understanding https://alignment.openai.com/accidental-cot-grading/ monitorability https://arxiv.org/abs/2512.18311, and e.g. preparing for potential losses of Chain-of-Thought monitorability. - Model behavior science: Design experiments and evaluations to understand the extent to which models are problematically misaligned, or their safety-relevant capabilities lag behind dangerous capabilities. This may include training model organisms of misbehavior for behaviors not currently present in production, or training interventions to increase safety-relevant capabilities. - Coordination and verification: Prototype technical mechanisms for verifying compliance with potential future AI safety agreements. - AI R&D risk measurement: Track progress toward automation of technical staff to inform OpenAI’s near-term investments in alignment and security. - Maintaining and strengthening RSI safety cases: We’re especially interested in identifying and addressing blindspots of mitigation areas which we may have missed. Generally, our team alternates between performing rigorous hypothesis-driven research and turning our insights into interventions or control systems which impact production models, with occasional support of engineering teams. IN THIS ROLE, YOU WILL: - Carefully consider the problems OpenAI might face in the future and how to prepare for them. - Turn an open-ended objective like “prepare for future security threats” into a much more concrete direction (e.g. “implement monitors for data poisoning”) – prioritizing the work that is most useful to start right now. - Execute quickl

ABOUT THE TEAM The Core Network Engineering team owns the end-to-end networking stack that connects OpenAI’s compute infrastructure — spanning global WAN/edge connectivity, data-center networking, and high-performance host/xPU networking used for large-scale training and inference workloads. This team is responsible for ensuring networking is never the bottleneck to model training efficiency, cluster reliability, or fleet expansion. They design and operate the systems that provide predictable, high-throughput, low-latency connectivity across some of the world’s most advanced AI infrastructure. ABOUT THE ROLE We’re looking for engineers to help build and operate the networking foundation behind OpenAI’s frontier AI systems. Depending on your background and area of focus, you may work across host networking, datacenter fabrics, or global WAN infrastructure. The problems span low-level systems software, distributed infrastructure, protocol readiness, observability, performance engineering, automation, and large-scale network operations. You’ll work on systems where microseconds of latency, tail performance, and network reliability directly impact model training efficiency and production serving performance. This role is ideal for engineers who enjoy operating close to the hardware/software boundary and solving performance-critical infrastructure problems at massive scale. IN THIS ROLE, YOU WILL: - Design, build, and operate networking systems that support large-scale AI training and inference infrastructure - Improve performance, reliability, and scalability across host networking, datacenter fabrics, and WAN systems - Develop automation for provisioning, configuration management, validation, upgrades, and lifecycle management of networking infrastructure - Build tooling and observability systems for network health, performance analysis, debugging, and automated remediation - Optimize network performance across technologies such as RDMA, RoCE, InfiniBand, Ethernet, and high-performance GPU interconnects - Define and operationalize networking protocols, readiness criteria, and continuous validation systems - Partner closely with compute, storage, hardware, and infrastructure teams to ensure networking scales predictably with fleet growth - Contribute to architecture decisions around topology design, capacity planning, failure domains, and network reliability - Diagnose complex distributed systems and networking issues across large heterogeneous compute environments YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have experience building or operating large-scale networking or distributed systems infrastructure - Are comfortable working close to the hardware/software boundary - Have experience with Linux networking, kernel systems, NICs, RDMA, or performance-sensitive infrastructure software - Have worked with high-performance networking technologies such as InfiniBand, RoCE, DPDK, or large-scale Ethernet fabrics - Have experience with datacenter networking, WAN systems, or host networking stacks - Enjoy debugging complex systems and performance bottlenecks across multiple layers of the stack - Are comfortable writing production software in languages such as C++, Python, or Go - Have strong systems fundamentals across networking, operating systems, distributed systems, or infrastructure engineering - Are motivated by building infrastructure that directly accelerates frontier AI research and deployment About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportu

About the Team The team’s mission is to accelerate the secure evolution of agentic AI systems at OpenAI. To achieve this, the team designs, implements, and continuously refines security policies, frameworks, and controls that defend OpenAI’s most critical assets—including the user and customer data embedded within them—against the unique risks introduced by agentic AI. About the Role As a Security Engineer on the Agent Security Team, you will be at the forefront of securing OpenAI’s cutting-edge agentic AI systems. Your role will involve designing and implementing robust security frameworks, policies, and controls to safeguard OpenAI’s critical assets and ensure the safe deployment of agentic systems. You will develop comprehensive threat models, partner tightly with our Agent Infrastructure group to fortify the platforms that power OpenAI’s most advanced agentic systems, and lead efforts to enhance safety monitoring pipelines at scale. We are looking for a versatile engineer who thrives in ambiguity and can make meaningful contributions from day one. You should be prepared to ship solutions quickly while maintaining a high standard of quality and security. We’re looking for people who can drive innovative solutions that will set the industry standard for agent security. You will need to bring your expertise in securing complex systems and designing robust isolation strategies for emerging AI technologies, all while being mindful of usability. You will communicate effectively across various teams and functions, ensuring your solutions are scalable and robust while working collaboratively in an innovative environment. In this fast-paced setting, you will have the opportunity to solve complex security challenges, influence OpenAI’s security strategy, and play a pivotal role in advancing the safe and responsible deployment of agentic AI systems. You’ll be responsible for: - Architecting security controls for agentic AI – design, implement, and iterate on identity, network, and runtime-level defenses (e.g., sandboxing, policy enforcement) that integrate directly with the Agent Infrastructure stack. - Building production-grade security tooling – ship code that hardens safety monitoring pipelines across agent executions at scale. - Collaborating cross-functionally – work daily with Agent Infrastructure, product, research, safety, and security teams to balance security, performance, and usability. - Influencing strategy & standards – shape the long-term Agent Security roadmap, publish best practices internally and externally, and help define industry standards for securing autonomous AI. We’re looking for someone with: - Strong software-engineering skills in Python or at least one systems language (Go, Rust, C/C++), plus a track record of shipping and operating secure, high-reliability services. - Deep expertise in modern isolation techniques – experience with container security, kernel-level hardening, and other isolation methods. - Hands-on network security experience – implementing identity-based controls, policy enforcement, and secure large-scale telemetry pipelines. - Clear, concise communication that bridges engineering, research, and leadership audiences; comfort influencing roadmaps and driving consensus. - Bias for action & ownership – you thrive in ambiguity, move quickly without sacrificing rigor, and elevate the security bar company-wide from day one. - Cloud security depth on at least one major provider (Azure, AWS, GCP), including identity federation, workload IAM, and infrastructure-as-code best practices. - Familiarity with AI/ML security challenges – experience addressing risks associated with advanced AI systems (nice-to-have but valuable). About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI

About the Team OpenAI Finance ensures the organization is positioned for long-term success as we pursue our mission. The Strategic Sourcing & Procurement function plays a critical role in enabling OpenAI to deliver impact across research, product development, technology infrastructure, and services by helping the company scale responsibly, securely, and with strong commercial discipline. Our work sits at the intersection of innovation and execution. We partner closely with teams across OpenAI to translate rapidly evolving business needs into scalable, compliant, and economically sound external partnerships. As OpenAI continues to grow at pace, services sourcing is becoming increasingly strategic across the company. Every business unit relies on external service providers in different ways — to extend capacity, access specialized expertise, support operations, and accelerate execution. Done well, Procurement becomes a source of trust and momentum, helping OpenAI move faster with the right partners, stronger commercial outcomes, and the right level of protection. About the Role We are seeking an experienced Strategic Sourcing (GTM) Leader to lead strategic sourcing and commercial enablement for OpenAI’s Go-to-Market organization across B2B and B2C channels. You will manage substantial and rapidly growing spend while shaping sourcing strategies and scalable commercial pathways across Media, Creative, Production, Influencer, Agency, Sponsorships, Analytics, Communications, and Event suppliers in support of high-impact global initiatives. You’ll help evolve our GTM procurement function from reactive deal support into a speed-enabling, scalable commercial engine that delivers cost efficiency, launch readiness, and strong governance in a fast-moving environment. In this role, you will: - Develop and execute sourcing strategies across GTM, Brand, Global Affairs, Events, Growth, and Partnership activities—spanning both B2B and B2C channels—that align with our mission and business objectives. - Lead the strategic sourcing, procurement, and supplier relationship management of key partners across media planning and buying, creative and production, creator/influencer, agencies, communications, sponsorships, partnerships, events, research, and analytics. - Lead and develop a lean, high-performing team of direct reports and contractors while remaining deeply hands-on in complex negotiations and high-volume deal execution; accountable for team output, execution quality, stakeholder experience, and scaling the function effectively. - Negotiate high-value and high-visibility commercial agreements that optimize cost, improve flexibility, and support time-sensitive launches, campaigns, placements, and partnerships. - Partner closely with Marketing , Creative & Production, Growth, Partnerships, Finance, Legal, and other cross-functional stakeholders to understand business priorities and align sourcing strategies accordingly. - Oversee a complex GTM supplier ecosystem, ensuring supplier scalability, rapid onboarding, seamless activation, and timely service delivery across multiple concurrent workstreams. - Identify and implement cost and commercial optimization strategies without compromising quality, speed, business impact, or launch readiness. - Enable major campaigns, brand moments, partnerships, and events by building sourcing approaches that can operate effectively under compressed timelines and evolving business requirements. - Monitor market trends, supplier capabilities, and emerging GTM commercial models to inform sourcing decisions and maintain a competitive advantage. - Provide strategic insights on spend, supplier performance, cycle times, savings, and sourcing initiatives to senior leadership to support fast, informed decision-making. - Ensure compliance with internal policies and external regulations while designing fit-for-purpose procurement pathways that reduce friction and maintain appropriate risk controls. - Build repeatable com

ABOUT THE TEAM The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem in close collaboration with our internal and external partners. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity. The Strategic Intelligence & Analysis (SIA) team provides safety intelligence for OpenAI’s products by monitoring, analyzing, and forecasting real-world abuse, geopolitical risks, and strategic threats. Our work informs safety mitigations, product decisions, and partnerships, ensuring OpenAI’s tools are deployed securely and responsibly across critical sectors. ABOUT THE ROLE We are looking for an AI emerging risks analyst to help us understand potential harms and misuse of AI at the frontier in a time of rapid, sustained change. From known threat actors misusing new technologies to new threats enabled by new technologies, we seek to scan available signals and use strategic foresight methodologies to enable proactive detection and mitigation of frontier AI risks. In this role, you will help to provide strategic-level perspective on a range of evolving risk areas, helping to produce actionable understanding of frontier AI risks relevant to OpenAI’s platforms, surfaces, and broader business interests. Utilizing mixed quantitative and qualitative methodologies, you will spot early warning signs, pull threads on potentially concerning behavior, and turn weak signals into clear, prioritized risk calls. You will focus on upstream ecosystem scanning, competitive benchmarking, and external narrative/risk sense-making. Your work will help to inform cross-functional partners in the protection and safety stacks to guide mitigations that keep users, brands, and communities safe while allowing productive, creative uses of these tools to thrive. IN THIS ROLE, YOU WILL - Map and prioritize emerging risks at the frontier of AI - Build and continuously refine a clear picture of emerging signals and trends that could affect the AI ecosystem through upstream and external scanning. - Design and maintain harm taxonomies that provide foresight and warning about how AI harms and misuse may manifest over the next 0-24 months and beyond. - Contribute to an evergreen frontier risk register and prioritization framework that surfaces the top issues by severity, prevalence, exposure, and trajectory. - Detect and deep dive into emerging abuse patterns - Create comprehensive approaches to horizon scanning, competitive benchmarking, and external narrative/risk sense-making. - Stay current on abuse trends ranging from state actor misuse to criminal activity, drawing from the work of internal organizational and cross-functional partners. - Connect individual incidents into system-level stories about actors, incentives, product design weaknesses, and cross-product spillover–whenever possible spotting these incidents or even hypothesizing them before they hit our surfaces. - Turn analysis into actionable risk intelligence - Translate findings into clear, ranked risk lists and concrete proposals for mitigations that product, safety, and policy teams can execute on. - Work with Global Affairs and Communications teams to share findings in ways that reinforce OpenAI’s role as a leader in the online safety ecosystem. - Track whether mitigation work is landing: follow key indicators, pressure-test assumptions, and push for course corrections when the data demands it. - Build early warning and measurement capabilities - Help define the core metrics and signals that indicate whether fast-evolving AI environments are safe (e.g., key harm prevalence, severity distributions, escalation rates, brand safety issues). - Work with data science and visualization colleagues to shape monitoring views and dashboards that highlight leading indicators and unusual changes from signals spotted off platform to determine whether these are manifesting in user behavior or abuse patte