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Software Engineer, ML Systems & Training Architecture

OpenAI · On-site

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Last seen by MeritLog September 12, 2026Source: AshbySource version: ashby-public-job-posting-v1

MeritLog read this listing from OpenAI's Ashby job board and last checked it on September 12, 2026.

Source: the employer's Ashby job board. Open the original listing for current details.

Job details

Work model: On-site
Salary: $295K - $380K
Location: San Francisco
Occupation: Software Developers(O*NET 15-1252.00)

Hiring context

How this role compares at OpenAI

OpenAI has 796 live roles in MeritLog’s catalog across 14 job families, and 293 of them are in data & analytics. 664 of those listings publish a pay range, a disclosure rate of 83%.

This role's posted range of $295K - $380K sits above 60% of the 651 other OpenAI roles quoted over the same currency and period.

OpenAI concentrates this hiring in:

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What you'd do

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.

What they're asking for

Have strong software engineering fundamentals and excellent code review judgment.Skill
Have experience with ML systems, training frameworks, GPUs, distributed systems, infrastructure, or similarly complex technical environments.Skill
Read and debug unfamiliar codebases quickly, and enjoy getting to root cause.Skill
Ship high-quality code with strong velocity and pragmatic judgment.Skill
Are low-ego, responsive, and motivated by helping researchers and engineers move faster.Skill
Prefer being a highly effective hands-on IC over driving broad process-heavy initiatives.Skill
Have experience reviewing messy, fast-moving, or AI-generated codebases.Skill

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

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. In this role, you will: - 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. 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 Range: $295K - $380K USD 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 we 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. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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