Software Engineer, Fleet Infrastructure

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 fleets. 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.

Responsibilities

• 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.

Focus Areas

• 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 through high-performance snapshot delivery across blob storage down to hardware caching.

Qualifications

• Experience with hyperscale compute systems.
• Strong programming skills.
• Experience working in public clouds (especially Azure).
• Experience working in Kubernetes.
• Execution-focused mentality paired with a rigorous focus on user requirements.
• Understanding of AI/ML workloads (a bonus).

Benefits

• Relocation assistance to new employees.

Pay

Compensation Range: $230K - $490K

Schedule

Hybrid work model of 3 days in the office per week.