Software Engineer, RL Training Infra

Details

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.

Responsibilities

• 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.

Requirements

• Desire to train and ship frontier models and ensure agents are useful for developers, enterprises, researchers, and everyday users.
• Strong generalist engineer with experience in some layer of ML infrastructure.
• Experience working on RL, inference, scaling, training systems, orchestration, or adjacent ML infrastructure.
• Ability to learn extremely quickly and operate across unfamiliar layers.
• Strong debugging skills, high ownership, low ego, and excellent communication.
• Comfortable landing in messy areas with tight timelines and gradually raising system quality.
• Energized by fast-moving environments where reliability, speed, and judgment matter.
• Willingness to build load-bearing systems and processes when needed.

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 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 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.

Benefits

• Base pay range: $295,000 - $445,000 (offers equity).
• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts.
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit).
• 401(k) retirement plan with employer match.
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks).
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees.
• 13+ paid company holidays and multiple paid coordinated company office closures, plus paid sick or safe time.
• Mental health and wellness support.
• Employer-paid basic life and disability coverage.
• Annual learning and development stipend.
• Daily meals in offices, and meal delivery credits as eligible.
• Relocation support for eligible employees.
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends.