Software Engineer, Ml Systems & Training Architecture

Details

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.

Responsibilities

• 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.

Requirements

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

Compensation Range: $295K - $380K USD. Offers Equity.

Benefits

• 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 throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend to fuel your professional growth
• Daily meals in our offices, and meal delivery credits as eligible
• Relocation support for eligible employees
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.