OpenAI

OpenAI

We are seeking an Engineering Manager to lead a team focused on building software systems that proactively detect and prevent harmful misuse of advanced AI models. This is a hands-on builder role where you will guide engineers in developing production services, detection pipelines, and mitigation strategies to safeguard the integrity of frontier models and minimize high-severity misuse risks. While this role involves aspects of frontier model development and security, the primary focus is on software engineering expertise, with an emphasis on creating reliable systems capable of operating at a massive scale.

OpenAI

OpenAI's Safety teams are dedicated to ensuring that our products are safe, trusted, and resilient as frontier AI systems scale globally. We are seeking Data Scientists to build the analytical foundations necessary for the responsible deployment of increasingly capable AI. This high-impact role operates at the intersection of product, safety, policy, and research, tackling complex and ambiguous problems where rigorous analysis directly informs critical decisions. Depending on your background and team alignment, you will work on measuring harmful or abusive behavior, detecting fraud and manipulation, evaluating and improving safety systems, designing experiments to understand product impacts, building prevalence estimators and monitoring systems, diagnosing gaps in safety and integrity, and translating risks into measurable problems and evidence-based recommendations. You will partner with Product, Engineering, Policy, Research, and Operations teams to improve safety outcomes and build analytical systems in rapidly evolving domains.

$230k - $325k

OpenAI

As an AI Architect, you will be the senior technical owner for a named portfolio of customers and the primary technical counterpart to their leadership teams. You will act as the “CTO of your book of business”, shaping each customer's AI strategy and guiding their journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact. You will own the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In partnership with the Account Director, you will translate business priorities into a focused use-case portfolio, an actionable adoption roadmap, and a clear path to durable customer value and growth. The Account Director owns commercial strategy; you own the technical strategy, customer journey, and path to production value. You will remain accountable for the technical outcome while bringing in the right specialists across deployment, implementation, enablement, security, product, and partners to provide deeper expertise and execute work where needed. This role calls for strong industry fluency, sound architectural judgment, and the ability to move confidently between executive strategy and hands-on technical conversations.

OpenAI

We are seeking engineers to build the AI systems that make Codex agents dependable in production. This role involves hands-on work across low-level systems and ML workflows, with the ability to debug Codex behavior end-to-end across the harness, model behavior, inference/runtime stack, GPU fleet, and product surface. You will collaborate with research, infrastructure, and product teams to design agent harness capabilities, run experiments, build frameworks for assessing production agent performance, and implement durable improvements from observed failures.

OpenAI

We are seeking a highly autonomous and ownership-driven engineer to join our Developer Productivity team, focusing on OpenAI's Inference Runtime. This role is crucial for scaling the engineering systems, safeguards, and developer workflows that enable our teams to innovate rapidly without compromising reliability or performance. You will operate at the intersection of developer experience, CI/CD infrastructure, release engineering, production readiness, and inference systems reliability. Your work will involve developing tooling and operational foundations for model launches, inference optimizations, cloud integrations, and large-scale deployments within our rapidly evolving inference stack. A primary focus will be enhancing the tooling and infrastructure for deploy gates of inference engine images, ensuring correctness, numerical soundness, regression-free performance, and optimized metrics like time-to-first-token (TTFT) and time-between-tokens (TBT). You will also contribute to hardening pre-production issue detection systems, reducing noise from flaky tests, and improving automation for triage, debugging, and escalation, alongside enhancing observability, rollout safety, release automation, and developer self-service tooling.

OpenAI

OpenAI is seeking a Product Manager to lead the product strategy for sensitive deployments, focusing on contexts with high operating bars due to model capability, customer settings, privacy constraints, and misuse potential. This includes government, high-stakes, regulated enterprise, zero data retention, and agentic workflow environments. The role involves building reusable integrity capabilities for agentic detection and enforcement in these sensitive areas, with a focus on high-consequence use cases and broader deployment-readiness for high-risk domains like healthcare.

OpenAI

The Codex team is building state-of-the-art AI systems for code generation and agentic reasoning, aiming to deploy these capabilities in products like ChatGPT and next-generation coding tools. As a Performance & Systems Engineer, you will focus on whole-system optimization across a complex stack including LLM inference, cloud orchestration, and agentic work management. Your role involves identifying and implementing high-leverage changes across infrastructure, modeling, and product layers to significantly improve the speed and cost-efficiency of Codex agents, directly impacting the experience of millions of users.

OpenAI

As a Technical Threat Investigator at OpenAI, you will play a crucial role in safeguarding the company and the broader ecosystem from sophisticated adversaries. This deeply investigative position requires you to conduct complex, end-to-end investigations into threat actors to understand their methodologies, infrastructure, and integration of AI into their operations. Your insights will be instrumental in proactively identifying malicious activity and driving improvements in detection, disruption, enforcement, and safety across the organization. You will translate your findings into scalable, durable solutions by building and owning lightweight tooling, automating processes, and developing AI-assisted workflows to enhance the speed, repeatability, and effectiveness of investigations.

OpenAI

This is a founding role for a Technical Deployment Lead (TDL) at OpenAI, based in Singapore. The TDL will define how OpenAI delivers complex AI systems to customers, owning their build, shipment, and adoption. This role involves translating business outcomes into technical plans, managing day-to-day execution across engineering teams, and partnering with customers to ensure delivery aligns with their goals. It requires deep technical project management expertise, extreme ownership, and the ability to immerse in customer workflows to solve complex engineering problems at pace. Success will be measured by the measurable value delivered to customers, adoption rates, and the impact of field insights on OpenAI's product and research roadmaps.

$25k - $50k

OpenAI

We are seeking a software engineer to help build the platform that qualifies and optimizes inference workloads across heterogeneous compute environments. You will develop both OpenAI-hosted services and secure partner-side software for running long-lived optimization workflows. These workflows generate candidate kernels, runtime configurations, and serving-stack changes; compile and execute them on target hardware; verify their correctness; measure their performance; and use the results to guide further optimization. You will work across model architecture, distributed execution, compilers, runtimes, networking, and accelerator systems. A central part of the role is turning research prototypes and one-off hardware bring-up efforts into reliable, reusable infrastructure with clear contracts, reproducible results, strong observability, and well-defined security boundaries.

OpenAI

OpenAI is seeking a hands-on Engineering Manager to lead a small, fast-moving team focused on building AI-powered automation systems that redefine how work is done across the company. This role is at the intersection of applied AI, research, and product engineering, where you will lead a team that builds systems capable of learning from humans and handling real workloads across various departments like sales, support, and finance. You will operate in a highly iterative environment, deploying systems directly to internal users, gathering rapid feedback, and evolving solutions in real time. This is a high-ownership role for someone excited about building 0→1 systems, working closely with customers, and shaping the future of AI in operational work at scale.

OpenAI

OpenAI's Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems, operating at the intersection of customer delivery and core platform development. Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. Success will be measured through production adoption, measurable workflow impact, and eval-driven feedback that influences product and model roadmaps. You'll collaborate closely with Product, Research, Partnerships, GRC, Security, and GTM teams.

OpenAI

OpenAI is seeking Senior and Staff Engineers to join the ChatGPT Infrastructure team. This role focuses on designing and building the foundational infrastructure systems that power ChatGPT, enabling rapid iteration and development without compromising performance or reliability. You will create shared systems, data paths, rollout mechanisms, and reliability guardrails that allow other engineering teams to ship changes at scale. This is a platform-building role where you will define interfaces, develop core abstractions, and create tooling to ensure safe and fast iteration, reduce friction, prevent regressions, and improve performance as the product grows.

OpenAI

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 Controls Network Engineer, you will design, validate, and scale the controls and OT network architectures that support high-density AI data centers. You will work across controls systems, OT infrastructure, telemetry, commissioning, deployment, and operations, partnering with mechanical, electrical, IT/networking, security, and external delivery teams. We are seeking a mid to senior OT Network Engineer with a strong controls systems background to lead the design and operation of resilient, secure, and scalable OT network architectures for high-density AI data centers. This role translates compute, power, cooling, and operational requirements into practical OT network designs, evaluates vendor solutions, and drives technical decisions across controls infrastructure, telemetry, commissioning, and operations. The ideal candidate has strong hands-on experience in mission-critical OT environments, including industrial networking, virtualized infrastructure, and OT network operations, with expertise in routing, switching, segmentation, firewall policy, time synchronization, monitoring, and network lifecycle support.

OpenAI

OpenAI's Hardware organization is developing AI-native silicon and system-level solutions for advanced AI workloads. We are seeking a systems-minded engineer to advance our kernel development, performance engineering, and hardware-software co-design capabilities, with a focus on AI-assisted workflows and tooling. This role sits at the intersection of kernel optimization, developer tooling, observability, and research infrastructure, aiming to improve how production kernels are built and optimized, and how future hardware-software systems are designed and evaluated. The ideal candidate is excited by low-level performance work and sees AI and automation as powerful tools for accelerating engineering velocity, helping to define the future of kernel engineering in the era of AI-assisted development.

OpenAI

We are seeking an experienced Product Manager to define and scale the construction of our data processing, data privacy, billing, and access controls products. You will set strategy and execute on projects like expanding our regional data processing footprint, enabling new inference caching controls in the API, or building APIs that make it easier for organizations to manage their spend limits. You will also define the strategy and ship foundational capabilities that ensure customers use OpenAI products securely, privately, and with enterprise-grade controls. This role partners deeply with engineering, security, legal, compliance, finance, and leadership to deliver high-trust, enterprise-grade systems.

OpenAI

The Safety Measurement Product Manager will lead OpenAI's strategy for measuring harm and the effectiveness of safeguards in production. This role involves driving the development and strategy for a suite of safety measurement platforms and products used across the company. You will collaborate closely with safety research and engineering teams to define what, where, and how we measure safety, influencing critical leadership decisions and informing ongoing safety initiatives. You will also represent the company's primary safety metric and prioritize requests to expand the safety measurement platform to new use cases.

OpenAI

OpenAI is seeking an experienced Performance Engineer to enhance the performance, reliability, and efficiency of its critical systems, including ChatGPT and the OpenAI API. This highly technical, individual contributor role involves optimizing infrastructure and application-level performance across various layers, from networking and storage to Python runtime and GPU utilization. You will develop tooling for performance observability, collaborate with cross-functional teams to set performance goals, and influence architectural decisions to prioritize latency, throughput, and cost-efficiency at scale. The role focuses on root-cause analysis, profiling, instrumentation, and driving systemic improvements to address performance regressions and scalability issues.

OpenAI

We are seeking a Software Engineer to join our Foundations Search team, focusing on building and scaling retrieval systems. This role involves developing infrastructure that empowers AI models to access and utilize the correct information precisely when needed. You will collaborate with researchers and engineers to design and manage indexing systems, retrieval pipelines, and serving layers, directly impacting the performance, reliability, and scalability of retrieval across OpenAI's products and research initiatives.

OpenAI

This is a founding role for a Technical Deployment Lead (TDL) based in Tokyo. The TDL will define how OpenAI delivers complex systems to customers, owning their build, shipment, and adoption. This role involves translating business outcomes into technical plans, managing day-to-day execution across engineering teams, and partnering with customers to ensure delivery meets their goals. While not a management role, it requires end-to-end delivery ownership, including embedding with customers to map workflows, ensure timely component delivery, and lead readiness and change management for adoption. The TDL will track progress, manage dependencies, make sequencing decisions, and drive prototypes from inception to scale, while also sharing field insights with Product and Research to influence the roadmap. Success is measured by the impact of deployments in delivering measurable value, driving adoption, and becoming critical to customer workflows, alongside delivery reliability and operating leverage.

$25k - $50k