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Software Development

Software Engineer, Fleet Infrastructure

OpenAI · San Francisco · full-time · Hybrid

Software Developmentfull-timeHybridSan Francisco$230K – $490K
ScalingFleet Clusters
RemoteJobs editorial overview

Strategic Overview

Software Engineer, Fleet Infrastructure at OpenAI is a dev opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.

The published role emphasizes work such as Design, implement and operate components of our compute fleet including job scheduling, cluster management, snapshot delivery, and CI/CD systems. Collaborate with hardware, infrastructure, and business teams to provide a high utilization and high reliability….

The role is listed for San Francisco with hybrid working arrangement, giving candidates the practical context needed to assess fit before applying. Relevant signals in the listing include Scaling, Fleet Clusters.

Job seeker snapshot

Key information at a glance

Role focusSoftware Development
LocationSan Francisco
WorkplaceHybrid
Employmentfull-time
Salary$230K – $490K
PostedFeb 13, 2025
Last seenOct 25, 2026
Role context

About This Role

This role will support the fleet infrastructure team at OpenAI. The fleet team focuses on running the world’s largest, most reliable, and frictionless GPU fleet to support OpenAI’s general purpose model training and deployment. Work on this team ranges from

About the Role

As an engineer within Fleet infrastructure, you will design, write, deploy, and operate infrastructure systems for model deployment and training on one of the world’s largest GPU fleet. The scale is immense, the timelines are tight, and the organization is moving fast; this is an opportunity to shape a critical system in support of OpenAI's mission to advance AI capabilities responsibly.

What the role delivers

Key Responsibilities & Objectives

  • Design, implement and operate components of our compute fleet including job scheduling, cluster management, snapshot delivery, and CI/CD systems.
  • Collaborate with hardware, infrastructure, and business teams to provide a high utilization and high reliability service
Candidate blueprint

Required Qualifications & Candidate Blueprint

  • Have experience with hyperscale compute systems
  • Possess strong programming skills
  • As a bonus, have an understanding of AI/ML workloads
Compensation & benefits

Salary & Benefits

Published compensation: $230K – $490K

  • As a bonus, have an understanding of AI/ML workloads
Live market comparison

Salary Benchmark

This role’s published compensation is compared with current employer-disclosed salary ranges for the same role in the same currency.

This job$230K – $490K
Current market range$86 – $625,000
Comparable jobs497

Benchmark uses active employer job postings in our database and excludes this listing. It is not a third-party salary estimate, and currencies are not converted.

Employer-provided source content

Full Job Description

The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.

This role will support the fleet infrastructure team at OpenAI. The fleet team focuses on running the world’s largest, most reliable, and frictionless GPU fleet to support OpenAI’s general purpose model training and deployment. Work on this team ranges from

  • Maximizing GPUs doing useful work by building user-friendly scheduling and quota systems

  • Running a reliable and low maintenance platform by building push-button automation for kubernetes cluster provisioning and upgrades

  • Supporting research workflows with service frameworks and deployment systems 

  • Ensuring fast model startup times though high performance snapshot delivery across blob storage down to hardware caching 

  • Much more!

About the Role

As an engineer within Fleet infrastructure, you will design, write, deploy, and operate infrastructure systems for model deployment and training on one of the world’s largest GPU fleet. The scale is immense, the timelines are tight, and the organization is moving fast; this is an opportunity to shape a critical system in support of OpenAI's mission to advance AI capabilities responsibly.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

  • Design, implement and operate components of our compute fleet including job scheduling, cluster management, snapshot delivery, and CI/CD systems.

  • Interface with researchers and product teams to understand workload requirements

  • Collaborate with hardware, infrastructure, and business teams to provide a high utilization and high reliability service 

You might thrive in this role if you:

  • Have experience with hyperscale compute systems

  • Possess strong programming skills

  • Have experience working in public clouds (especially Azure)

  • Have experience working in Kubernetes

  • Execution focused mentality paired with a rigorous focus on user requirements

  • As a bonus, have an understanding of AI/ML workloads

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.

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. 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.

OpenAI Global Applicant Privacy Policy

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.

RemoteJobs original analysis

Editor’s Market Perspective (Our Custom Analysis)

Why This Position Matters

This dev opening is a useful opportunity for candidates whose experience matches Scaling, Fleet Clusters. Its strongest career signal is the scope of the work itself — particularly Design, implement and operate components of our compute fleet including job scheduling, cluster management, snapshot delivery, and CI/CD systems. — rather than a generic title alone.

Resume & Application Strategy

For the application, mirror the employer's language where it truthfully matches your background: foreground Scaling, Fleet Clusters, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.

Source transparencyashby

We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.