Currently tracking 199 active AI roles, down 29% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $230k–$555k (avg $372k).
OpenAI currently has 235 active AI-related job listings. The majority of these roles are in the application stage, accounting for 32% of the total, followed closely by the agents stage at 29%. The dominant function for hiring is Engineering, with 168 positions. Frequent tech tags include model_serving, evals, and agent_orchestration, suggesting a focus on deploying and managing AI models. In the last 30 days, OpenAI posted 50 new AI roles, representing a 14% increase compared to the previous 30-day period.
OpenAI currently has 254 active AI-related roles in our index. The most common open titles are: AI Deployment Engineer (4), Partner AI Deployment Engineer - AWS (4), AI Deployment Engineer - Startups (3), AI Deployment Engineer- Codex (3), AI Deployment Engineer, Startups (2). Most positions are in Engineering and Research.
OpenAI's active AI hiring is concentrated in: application (33%), agents (28%), serving infrastructure (10%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
OpenAI is hiring AI talent in: United States (203 roles), United Kingdom (14 roles), Japan (6 roles), Germany (5 roles).
Job postings at OpenAI most frequently reference: model serving, agent orchestration, evals, llm observability, inference infra.
In the past 30 days, OpenAI has posted 56 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Distributed Training Engineer, Sora OpenAI is seeking a Distributed Training Engineer for their Sora team to improve training throughput for video models. This role involves optimizing the internal training framework, collaborating with researchers, and ensuring hardware efficiency for supercomputer training runs. | Pretrain | 10 |
| Forward Deployed Engineer - Stockholm This role focuses on deploying OpenAI's frontier AI models into production systems for strategic customers, involving end-to-end ownership from discovery and design to rollout and adoption. The engineer will build full-stack systems, contribute code, and codify working patterns into reusable tools, with success measured by production adoption, workflow impact, and feedback that influences product and model roadmaps. The role requires strong engineering and deployment experience, particularly with LLMs or generative models, and the ability to manage complex projects in ambiguous environments. |
| ShipAgent |
| 9 |
| Forward Deployed Engineer - Madrid This role focuses on deploying OpenAI's frontier AI models into production systems for strategic customers, leading the entire process from discovery and scoping to system design, build, and rollout. The engineer will work on full-stack systems, embed with customer teams, and contribute to product and model roadmaps through feedback and evaluations. The role requires strong engineering and deployment experience, particularly with LLMs, and the ability to manage complex projects in ambiguous environments. | ShipServe | 9 |
| Technical Lead Manager - Training Runtime, Data(set) Movement Technical Lead Manager for Training Runtime, focusing on the Data Movement area. This role owns the infrastructure for supplying training jobs with data and managing model state during large-scale model training runs. It involves designing and building a unified dataset read platform, defining APIs, storage contracts, and ensuring reliability and reproducibility. | Data | 9 |
| Software Engineer, Cyber Frontier Software Engineer role focused on building AI systems and products for cyber threat understanding and response, improving safety and reliability of frontier models in security-sensitive settings. Responsibilities include defining and executing technical roadmaps, working with defenders and customers, shaping model training and access patterns, and building research and evaluation systems. | ShipEval Gate | 9 |
| Software Engineer, RL Training Infra Software Engineer focused on the infrastructure and engineering challenges of large-scale reinforcement learning training for frontier AI agents, including scaling, orchestration, inference, and reliability, with a secondary focus on agentic capabilities like multi-agent systems and memory. | Post-trainAgent | 9 |
| Manager, AI Deployment Engineering - Codex Manager for AI Deployment Engineering focused on the Codex product, responsible for leading a team that helps customers integrate and scale AI coding tools into their software development lifecycle. The role involves technical leadership, customer engagement strategy, and partnering with product and research teams to drive adoption and gather feedback. | Ship | 9 |
| Security Preparedness Lead, Coding Agents This role focuses on the security preparedness of internal AI coding and research agents, defending them against cyber threats and insider risks. It involves developing threat models, identifying critical security investments, and leading technical execution for security controls. | Agent | 9 |
| AI Deployment Engineer - Startups AI Deployment Engineer role focused on working with strategic startup customers to optimize AI systems, identify failure modes, and translate learnings into product improvements and evaluation systems. This role involves prototyping prompts and agents, designing evaluations, and acting as a technical partner to customers. | AgentEval Gate | 9 |
| Performance & Systems Engineer, Codex The role focuses on optimizing the performance and cost of AI systems, specifically the Codex agents, which involve LLM inference, cloud orchestration, and agentic work management. The engineer will hunt down inefficiencies, build tooling for measurement and profiling, and collaborate to improve latency and cost. | ServeAgent | 9 |
| Research Infrastructure Engineer, Training Systems This role is for a Research Infrastructure Engineer focused on ML training systems at OpenAI. The engineer will build and maintain the infrastructure that enables novel research ideas for large-scale model training, improving reliability, debuggability, and performance. The work involves debugging across various systems (Python, PyTorch, distributed systems, GPUs, networking, storage) and designing APIs for complex training workflows. | Data | 9 |
| Software Engineer, Inference - Performance Optimization Software Engineer focused on optimizing inference performance across application, model, and fleet layers. This role involves building performance models, analyzing inference workloads, enhancing tooling for bottleneck identification, and collaborating with teams to implement improvements and project future needs. The core of the role is to drive faster and cheaper inference. | Serve | 9 |
| Manager, Forward Deployed Engineering - Munich Manager for Forward Deployed Engineering team responsible for partnering with customers to turn research breakthroughs into production systems using frontier models. The role involves leading and growing a team, owning end-to-end delivery outcomes, and ensuring fieldwork informs roadmap priorities and supports safe deployment at scale. Requires strong leadership, technical project management, and experience with production-grade code. | ShipServe | 9 |
| Manager, Forward Deployed Engineering - London Manager for Forward Deployed Engineering team responsible for partnering with customers to turn research breakthroughs into production systems, owning end-to-end delivery outcomes, and informing roadmap priorities through fieldwork. Requires experience managing customer-facing engineers and leading high-pressure technical projects. | Ship | 9 |
| Machine Learning Engineer, API Multicloud Machine Learning Engineer to build and improve AI systems for strategic partners adapting OpenAI models to cloud-native environments. This role involves post-training workflows, evaluation, data pipelines, model behavior, and API/infrastructure integration, focusing on customizing and deploying models safely and reliably. | Post-trainAgent | 9 |
| Engineering Manager, Multimodal (API) Engineering Manager to lead a team responsible for delivering innovative multimodal API products, including real-time processing, speech transcription, speech generation, and image creation. The role involves owning the product roadmap, collaborating with research teams, and guiding technical decisions for scalability and robustness. | ShipPost-train | 9 |
| AI Deployment Engineer | Codex AI Deployment Engineer focused on helping customers adopt OpenAI's coding tools (Codex) by guiding them in integrating Codex into their projects and workflows, designing and validating advanced AI workflows, and building demos and integrations. The role involves technical consulting, customer-facing leadership, and contributing to product strategy. | Ship | 9 |
| Software Engineer, Foundations Retrieval Software Engineer focused on building and scaling retrieval systems for agentic search, enabling models to retrieve and act on information. This role involves designing and operating indexing systems, retrieval pipelines, and serving layers, with a focus on performance, reliability, and observability at scale. It supports retrieval across OpenAI products and research, integrating with pretraining, inference, and product teams. | AgentServe | 9 |
| Manager, AI Deployment Engineering - Codex Manager for AI Deployment Engineering focused on the Codex product, responsible for leading a team that helps customers integrate and scale AI coding tools into their software development lifecycle, ensuring reliable and secure adoption. | Ship | 9 |
| Technical Deployment Lead - Tokyo This role is a founding Technical Deployment Lead at OpenAI, focused on partnering with customers to deliver complex AI systems. The role involves defining delivery processes, translating business needs into technical plans, managing execution across engineering and research teams, and ensuring customer adoption and value realization. It requires deep technical project management, ownership, and the ability to work in ambiguous, high-autonomy environments, with a focus on shipping AI/LLM systems to customers and codifying reusable patterns from field insights. | Ship | 9 |
| Forward Deployed Engineer - Sydney Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside strategic customers. This role involves discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. Success is measured by production adoption, workflow impact, and feedback that influences product and model roadmaps. The FDE will contribute to both customer delivery and core platform development, working closely with various internal teams and potentially contributing code directly. The role requires strong engineering and deployment experience, particularly with LLMs or generative models, and the ability to manage complex systems in ambiguous environments. | AgentServe | 9 |
| Applied AI Engineer, Codex Core Agent This role focuses on improving the performance, reliability, and usefulness of AI agents, specifically for software engineering tasks. It involves designing agent behaviors, developing evaluation metrics, optimizing through prompting and tool-use, analyzing production failures, and building feedback loops to enhance models and agent capabilities. The goal is to bridge the gap between research potential and real-world application, ensuring agents are dependable tools. | AgentPost-train | 9 |
| Software Engineer, Codex Core Agents Software Engineer focused on building and operating the production infrastructure for Codex agents, including sandboxed execution, orchestration, stateful workflows, and optimizing performance (tokens, latency, reliability, cost) for a fleet of AI agents. | AgentServe | 9 |
| AI Deployment Engineer, Startups AI Deployment Engineer focused on working with strategic startup customers to optimize their AI systems, prototype prompts/agents, and translate customer feedback into reproducible evaluations and product improvements for OpenAI's research and products. The role involves deep technical engagement, understanding system behavior, and building relationships within the startup ecosystem. | AgentEval Gate | 9 |
| TL, Research Inference This role focuses on building and optimizing high-performance inference systems for large-scale AI models, translating research ideas into efficient and scalable inference infrastructure. It involves owning core execution paths, distributed inference across multiple GPUs, and optimizing operators and kernels, with a strong emphasis on performance, correctness, and realism for research enablement. | Serve | 9 |
| Machine Learning Engineer, Integrity Machine Learning Engineer on the Integrity team at OpenAI, focused on defending against adversarial threats and misuse of AI platforms. The role involves designing, deploying, and optimizing ML models for content understanding and abuse prevention, working with researchers and engineers to turn research into tangible solutions, and ensuring the trust and safety of the platform. | Post-trainServe | 9 |
| Inference Technical Lead, On-Device Transformers Lead the implementation of the low-level inference stack for on-device transformer models, including kernel development and runtime systems, while collaborating with researchers and hardware vendors to optimize model architectures for deployment constraints. | ServePost-train | 9 |
| Forward Deployed Engineer (FDE) - Seattle This role focuses on leading end-to-end deployments of frontier AI models for strategic customers, building full-stack systems, and driving production adoption. It involves technical scoping, system design, build, and rollout, with a strong emphasis on customer collaboration and using evaluation feedback to influence product and model roadmaps. The role requires contributing code, codifying patterns, and sharing field insights. | AgentServe | 9 |
| Machine Learning Engineer, Distributed Data Systems - Robotics Machine Learning Engineer focused on designing and scaling distributed data infrastructure for large-scale multimodal training and evaluation in robotics, ensuring reliability and efficiency for rapid iteration cycles. | DataEval Gate | 9 |
| Manager, Forward Deployed Engineering Manager for a Forward Deployed Engineering team at OpenAI, responsible for leading a team that turns research breakthroughs into production systems for customers. The role involves owning end-to-end delivery outcomes, informing product and research roadmaps, and ensuring safe deployment at scale. Requires strong leadership, technical delivery experience, and the ability to make sound decisions under pressure. | Ship | 9 |
| Software Engineer, Platform Systems Software Engineer on the Platform Systems team at OpenAI, responsible for designing and building distributed systems for failure detection, tracing, and observability in large-scale AI training jobs. This role focuses on operating and improving the reliability and performance of OpenAI's training infrastructure. | DataServe | 9 |
| AI Deployment Engineer- Codex This role focuses on helping customers adopt OpenAI's coding tools (Codex) by acting as a technical partner, guiding engineering teams in integrating Codex into their projects and workflows. The engineer will design, validate, and scale AI workflows, build demos and integrations, lead workshops, and contribute technical content. The role blends technical architecture, product strategy, and customer-facing leadership, aiming to accelerate the deployment of intelligent coding systems. | Ship | 9 |
| Software Engineer, Distributed Data Systems - Robotics Software Engineer to design and scale infrastructure for large-scale multimodal training and evaluation in robotics at OpenAI. Focus on distributed data pipelines, ML infrastructure, and ensuring scalability and reliability. | DataEval Gate | 9 |
| Forward Deployed Engineer (FDE) - NYC This role focuses on leading end-to-end deployments of frontier AI models for strategic customers, building full-stack systems, and driving production adoption. It involves technical scoping, system design, build, and rollout, with a strong emphasis on customer value and feedback loops to improve product and model roadmaps. The role requires contributing code, codifying patterns, and sharing field insights. | ShipServe | 9 |
| Software Engineer, Hardware Software Engineer role focused on building and optimizing the low-level stack for AI supercomputing clusters, including runtimes, kernels, and compiler infrastructure, to orchestrate computation and data movement for distributed training workloads. | Serve | 9 |
| Training: ML Framework Engineer This role focuses on improving the core distributed machine-learning training runtime for OpenAI, aiming to accelerate researchers and enable frontier-scale model runs. The engineer will work on high-performance data movement, fault-tolerant training frameworks, and distributed process management to increase both training throughput and researcher throughput. | DataPretrain | 9 |
| Offensive Security Engineer, Agent Products Principal-level Offensive Security Engineer focused on deep, hands-on penetration testing of OpenAI’s agent-powered products, infrastructure, and model-integrated application surfaces. Assesses complex systems, identifies vulnerabilities, validates exploitability, and partners with engineering teams to drive fixes. Builds tools and automation for offensive security workflows. | Agent | 9 |
| Training Performance Engineer The Training Performance Engineer will drive efficiency improvements across OpenAI's distributed training stack, focusing on optimizing GPU utilization, throughput, and uptime for large-scale distributed model training. This role involves profiling, analyzing performance bottlenecks in compute, communication, and storage, and collaborating with engineers to improve kernel efficiency, scheduling, and collective communication performance, particularly for pre-training. | Data | 9 |
| Software Engineer, Inference – AMD GPU Enablement Software Engineer focused on scaling and optimizing OpenAI's inference infrastructure on emerging GPU platforms, specifically AMD accelerators. The role involves working across the stack from low-level kernel performance to high-level distributed execution, integrating internal model-serving infrastructure, debugging distributed inference workloads, and collaborating on high-performance GPU kernels and communication libraries. | Serve | 9 |
| Forward Deployed Engineer - Munich This role focuses on leading end-to-end deployments of frontier AI models for strategic customers, involving system design, build, and production rollout. The engineer will work closely with customer teams to deliver value, gather feedback for product and model improvements, and contribute to the development of reusable tools and playbooks. The role requires strong engineering experience, including building and deploying LLM-powered systems, and the ability to manage complex projects in ambiguous environments. | AgentServe | 9 |
| Forward Deployed Engineer - Paris This role focuses on deploying frontier AI models into production systems for strategic customers, involving end-to-end ownership from discovery and scoping to system design, build, and rollout. The engineer will partner with customer teams, contribute code, build full-stack systems, and provide feedback to improve models and product roadmaps, measuring success through adoption and impact. | AgentServe | 9 |
| Forward Deployed Engineer - Dublin This role focuses on leading end-to-end deployments of frontier AI models for strategic customers, involving technical scoping, system design, build, and production rollout. The engineer will partner closely with customer teams, contribute code, and codify working patterns into reusable tools. Success is measured by production adoption, workflow impact, and feedback that influences product and model roadmaps. The role requires experience in building or deploying LLM-powered systems and delivering complex systems in ambiguous environments. | AgentServe | 9 |
| Forward Deployed Engineer (FDE) - SF This role focuses on leading end-to-end deployments of frontier AI models for strategic customers, bridging customer needs with core platform development. The FDE will own the entire delivery lifecycle, from discovery and scoping to system design, build, and production rollout, ensuring measurable workflow impact and gathering feedback to influence product and model roadmaps. The role involves building full-stack systems, embedding with customer teams, and contributing code directly when necessary, with a strong emphasis on making trade-offs between scope, speed, and quality. | ShipAgent | 9 |
| Software Engineer, Accelerators Software Engineer focused on optimizing low-level software for AI accelerators to improve efficiency and performance for large-scale training and inference of AI models, including LLMs and recommender systems. | ServePretrain | 9 |
| Software Engineer, Agent Infrastructure Software Engineer role focused on building and scaling the infrastructure for training and deploying AI agents, including a novel container orchestration platform and production deployment systems. Collaborates with researchers and product teams to enable complex agentic models and launch agentic products. | AgentServe | 9 |
| Software Engineer, Inference - Multi Modal Software Engineer focused on building and optimizing inference infrastructure for OpenAI's multimodal models (image, audio) at scale, ensuring high-throughput, low-latency delivery and enabling research to production workflows. | Serve | 9 |
| Inference Technical Lead, Sora OpenAI is seeking a GPU Inference Engineer to optimize model serving efficiency, inference performance, and scalability for their multimodal foundation models, Sora. The role involves kernel-level systems, data movement, and low-level performance tuning to support the growth and reliability of AI systems. | Serve | 9 |
| TLM, Machine Learning, Integrity OpenAI's Integrity team, within Applied Engineering, is seeking an experienced Engineering Manager (Web Safety) to lead a team of senior Machine Learning Engineers. The role involves architecting and building next-generation system protections, directly contributing through hands-on design, model training, and deployment strategies. The team uses state-of-the-art models to detect and prevent problematic content, establishing robust evaluation frameworks and metrics. The role also includes managing and mentoring the team, and collaborating with Research, Safety, Product, and Policy teams. | Post-trainServe | 9 |
| Software Engineer, Model Inference Software Engineer focused on optimizing large AI models for high-volume, low-latency, and high-availability production and research environments. This role involves working with researchers and engineers to bring AI technologies into production, improving the inference stack's performance, and optimizing hardware utilization. | Serve | 9 |
| Research Engineer, Applied AI Engineering Research Engineer role focused on deploying and optimizing advanced ML models into production, transforming research into real-world applications. Involves collaboration, scaling data pipelines, and ensuring model performance and maintenance. | ShipServe | 9 |