GPU Fleet Infra Engineer — Scale & Automate

OpenAI; California (MO); Hybrid; USD 180,000 - 260,000; Full time

Job summary

OpenAI is seeking an engineer for Fleet infrastructure to design, build, and operate scalable compute systems for model deployment and training on one of the world’s largest GPU fleets. You will work with researchers and product teams to understand workloads, develop scheduling, and automate cluster provisioning and upgrades.

The role emphasizes fast delivery, reliability, and close collaboration across hardware, infra, and software teams in a hybrid San Francisco setting.

Qualifications

• Experience designing and operating infrastructure systems for large-scale compute.
• Strong programming skills and ability to interface with researchers and product teams.

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 high utilization and reliability.

Skills

Programming

Hyperscale compute

Stakeholder communication

Tools

Kubernetes

Azure

Job description

OpenAI is seeking an engineer for Fleet infrastructure to design, build, and operate scalable compute systems for model deployment and training on one of the world’s largest GPU fleets. You will work with researchers and product teams to understand workloads, develop scheduling, and automate cluster provisioning and upgrades.

The role emphasizes fast delivery, reliability, and close collaboration across hardware, infra, and software teams in a hybrid San Francisco setting.