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 |
|---|---|---|
| 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 |
| Researcher, Pretraining Safety Researcher focused on pretraining safety for AI models, developing upstream safety evaluations, creating safer priors through targeted pretraining, and designing safe-by-design architectures. The role involves identifying safety-relevant behaviors in early-stage models and reducing risk during training. | Pretrain | 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 |
| Technical Lead, Safety Research This role is a Technical Lead for Safety Research at OpenAI, focusing on advancing AI safety and alignment. The team works on implementing robust, safe behavior in AI models, developing new evaluations for misalignment, and supporting human oversight. The lead will set research directions, drive exploratory research, and collaborate across teams to ensure strong safety results. Key responsibilities include setting research strategies, coordinating with cross-functional teams, evaluating model safety, and conducting research on topics like RLHF, adversarial training, and robustness. The role requires a strong track record in AI safety research, leadership experience, and a deep understanding of deep learning. | Post-trainEval Gate | 9 |
| Data Scientist, Codex This role focuses on measuring and accelerating product-market fit for AI developer tools, specifically within the Codex product team at OpenAI. The Data Scientist will define developer productivity metrics, design and interpret A/B tests for new coding models and features, and analyze model performance across various languages and tasks. The insights generated will directly influence the product's direction and the broader software engineering industry. | Agent | 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 |
| Research Engineer, Codex Research Engineer role focused on building and improving AI systems for code generation, reasoning, and agentic behavior. The role involves research, experimentation, system optimization, and deployment across the full lifecycle of coding capabilities, aiming to enhance products like ChatGPT and the API. | AgentServe | 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 |
| RE / RS - Foundations, Search Research role focused on embedding retrieval and agentic search, developing foundational technology for future frontier models. Involves designing new embedding training objectives, scalable vector store architectures, and dynamic indexing methods, with potential for publication and integration into OpenAI products. | DataAgent | 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 |
| Research Engineer Research Engineer role at OpenAI focused on building AI systems with unprecedented performance, requiring strong engineering skills in massive-scale distributed ML systems and algorithm science. The role emphasizes building and advancing AI capabilities. | Pretrain | 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 |
| Researcher, Health AI Researcher focused on AI safety and alignment techniques for healthcare applications, aiming to improve model behavior, knowledge, and reasoning, and integrate these methods into core training and product launches. | Post-trainEval Gate | 9 |
| Researcher, Safety Oversight Researcher focused on AI safety, specifically developing methods for oversight of frontier AI models, identifying and mitigating misuse and misalignment, and improving models' reasoning about human values. The role involves developing AI monitor models, designing red-teaming pipelines, and collaborating with cross-functional teams. | Eval GatePost-train | 9 |
| Researcher, Trustworthy AI Researcher focused on AI safety and societal impacts, translating policy problems into technical research, building methods for public input into model values, and increasing rigor of external assurances for AI model deployments. | Eval Gate | 9 |
| Researcher, Alignment Research role focused on ensuring AI systems are safe, trustworthy, and aligned with human values, developing methodologies for robust intent following, and integrating human oversight. | Post-trainEval Gate | 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 |
| Software Engineer, Collective Communication Software Engineer focused on the collective communication stack for large-scale AI model training, using C++ and CUDA to optimize network performance on custom supercomputers. This role directly supports the training of OpenAI's flagship models and collaborates with ML researchers. | Data | 9 |
| Research Engineer, Retrieval & Search, Applied Engineering Research Engineer focused on retrieval and search algorithms and methodologies for production deployment in API and ChatGPT, involving novel research and collaboration with cross-functional teams. Requires experience in production ML systems, vector databases, and internet-scale search. | AgentServe | 9 |
| Researcher, Robustness & Safety Training Researcher focused on AI safety, specifically in training models for robustness, alignment, and adversarial resistance using techniques like RLHF. The role involves setting research directions and implementing improvements in OpenAI's products. | Post-train | 9 |
| TLM, Embedded Experiences Technical Lead Manager to lead a team of engineers building AI-native embedded experiences and operations-forward systems, driving business outcomes, architecture, and technical strategy for complex systems, contributing to implementation, and growing a high-performing team. Partners closely with internal stakeholders to understand operational challenges, identify high-leverage opportunities for automation, and deliver solutions that create measurable impact. | Ship | 8 |
| People Research Data Scientist, AI Fairness & Bias This role focuses on establishing how OpenAI evaluates AI-assisted People systems and talent processes by designing and conducting rigorous assessments to identify, measure, and mitigate potential bias across models, agents, and automated workflows. It involves defining fairness strategies, conducting algorithmic audits, evaluating human-AI decision systems, developing approaches for generative AI and agents, investigating sources of disparities, and building scalable fairness-evaluation infrastructure. | Eval GateAgent | 8 |
| Full Stack Software Engineer, Codex Full Stack Software Engineer to invent AI-powered software development workflows, applying AI across the entire SDLC from design to support. The role involves owning complete product experiences, including UIs, orchestration, agent/prompt design, backend systems, and cloud infrastructure, with a focus on shipping features that influence how developers work. | Agent | 8 |
| Agentic Risk Analyst This role focuses on analyzing and mitigating risks associated with agentic AI systems, ensuring safe and responsible deployment across OpenAI's products. The analyst will build a portfolio of agentic risks, assess emerging threats, and collaborate with various teams to implement mitigation strategies. | Agent | 8 |
| AI Tooling & Enablement Manager This role focuses on identifying and building AI-native products and workflows for OpenAI's marketing organization. The manager will work with marketing teams to leverage AI for improved quality, speed, and effectiveness, by designing and deploying workflows that combine agents, tools, and human review. The role involves prototyping, shipping automation, building reusable systems, and providing training and documentation to enable safe and effective AI adoption. | Agent | 8 |
| Full Stack Software Engineer, ChatGPT ImageGen Full Stack Engineer for the Image Generation team at OpenAI, focusing on building and shipping end-to-end product experiences for image generation and editing within ChatGPT. This role involves working across the entire stack, from frontend UIs to backend services and orchestration systems, to bring multimodal AI advancements to millions of users. | Ship | 8 |
| Backend Software Engineer, ChatGPT ImageGen Backend Engineer for OpenAI's ChatGPT Image Generation team, focusing on building and operating scalable backend systems, APIs, and infrastructure for image creation and editing using multimodal AI models. The role involves optimizing performance, reliability, and cost, partnering with research and product teams, and driving technical architecture decisions for large-scale distributed systems. | ShipServe | 8 |
| Technical Deployment Lead, Semiconductors This role focuses on deploying AI systems to semiconductor customers, owning the end-to-end delivery process from scoping to adoption. The Technical Deployment Lead will translate customer needs into technical plans, manage execution across teams, and ensure deployments deliver measurable value and become critical to customer workflows. The role requires deep expertise in semiconductor workflows and experience shipping AI/LLM systems. | Ship | 8 |
| Software Engineer, Cloud Agents Software Engineer to build and scale a cloud agent platform, focusing on orchestration, sandboxing, secure connectivity, and tool usage for long-running agents. The role involves designing and operating systems for agent orchestration at scale, partnering with product engineers to enable rapid product shipping, and improving reliability, security, performance, and cost efficiency. | AgentServe | 8 |
| AI Deployment Engineering Manager, Digital Natives Manage a team of AI Deployment Engineers focused on ensuring the safe and effective deployment of Generative AI applications for technology and software companies, driving them to production and increasing API adoption. | Ship | 8 |
| Robotics Software Engineer Robotics Software Engineer to expand data collection and evaluation program, integrating hardware and software for robotic systems. Involves designing, implementing, and optimizing software, developing control interfaces, and creating automation tools for policy evaluation. | Ship | 8 |
| Software Engineer, ML Systems & Training Architecture Software Engineer focused on ML Systems & Training Infrastructure for the OpenAI Robotics team, responsible for maintaining and improving the training framework, debugging ML systems, and unblocking researchers and engineers. | Data | 8 |
| AI Deployment Engineering Manager, Startups Lead and scale the Startups AI Deployment Engineering team to help high-growth startups move from experimentation to production with OpenAI's technologies. This role involves team leadership, technical depth, customer prioritization, and cross-functional influence, focusing on defining how OpenAI supports startup customers at scale. | Ship | 8 |
| Strategic Partnerships Lead, Education Research Scientist focused on building scientific and evaluation infrastructure to understand how AI systems affect learning, cognition, and capability development over time. The role involves designing rigorous studies, developing scalable evaluation methods, and measuring cognitive outcomes beyond engagement. It sits at the intersection of learning science, cognitive science, experimental design, LLM evaluation, and applied product research, with an initial focus on young users and education settings. This is an applied, empirical role focused on building evidence systems that are scientifically credible, operationally useful, and influential in model and product development. | Eval GatePost-train | 8 |
| Technical Deployment Lead, Life Sciences This role focuses on deploying complex AI systems, specifically for the Life Sciences vertical (pharmaceuticals, CROs), to customers. The Technical Deployment Lead will own the end-to-end delivery process, from defining technical plans and managing execution with internal teams (FDEs, Researchers) and customer teams, to ensuring adoption and measuring impact. The role requires translating business outcomes into technical plans, managing dependencies, and driving prototypes through MVP and scale, with a strong emphasis on customer value and adoption. | Ship | 8 |
| Software Engineer, Post-Training Research Software Engineer focused on post-training research, building tooling and evaluation systems for researchers to prepare models for deployment in products like ChatGPT and the API. The role involves rapid prototyping, refactoring codebases, and designing experiment systems. | Post-train | 8 |
| AI Deployment Engineer- Codex AI Deployment Engineer for OpenAI's Codex, focusing on customer adoption of coding tools, designing and implementing AI-enhanced development workflows, building demos and integrations, and providing technical enablement and content. | Ship | 8 |
| Engineering Manager, Cooperative Systems Engineering Manager to lead a team building AI-powered automation systems for internal operations, focusing on autonomous reasoning and learning from humans. The role involves hands-on architecture, full-stack development, and rapid iteration with internal users and customers. | Agent | 8 |
| SOC Architect Seeking an experienced SoC Architect to define and develop next-generation custom AI silicon for edge deployments, focusing on efficient, high-performance SoCs for ML inference. The role involves cross-functional collaboration with internal teams and external partners to translate product requirements into scalable silicon solutions, driving execution from concept through delivery. | Serve | 8 |
| Performance Modeling Lead Lead a team to build and own a performance modeling framework for AI infrastructure systems, analyzing tradeoffs across compute, memory, networking, and storage to guide architectural decisions and influence vendor roadmaps. Requires deep knowledge of AI/ML workloads (training/inference) and large-scale distributed systems. | Serve | 8 |
| Abuse Investigator (AI Self-Improvement Risk) Investigate AI agentic and autonomous behavior risks, identify emerging patterns, and propose improvements to safeguards. Requires expertise in complex systems, multi-step behaviors, and ambiguous signals. | Agent | 8 |
| IC Agentic Engineering Manager - Stargate This role focuses on applying agent-based systems to infrastructure delivery and operations within OpenAI's Stargate Infrastructure team. The goal is to use AI-driven approaches for deployment orchestration, system bring-up, issue triage, debugging, and capacity management, rather than building general-purpose agent platforms. It's a player-coach role involving direct system design and implementation while leading a small team. | Agent | 8 |
| Engineering Manager, Distillation & Dectection Platform Engineering Manager to lead a team building software systems that detect and prevent harmful misuse of frontier AI models, focusing on model IP protection, distillation detection, and emerging risks from autonomous agents. The role involves setting technical roadmaps, building scalable production systems, and partnering with Research and Product to translate model capabilities into deployed mitigations. Requires strong software engineering fundamentals, experience in adversarial environments, and leadership skills. | AgentServe | 8 |