GPU Fleet Infra Engineer — Scale, Automation & Kubernetes

OpenAI; New York (NY); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Relocation assistance

Hybrid work model

Job summary

OpenAI in San Francisco invites engineers to join the Fleet Infrastructure team, shaping the world's largest GPU fleet for model training and deployment. The role involves designing, deploying and operating infrastructure systems for scalable compute and research workloads.

You will collaborate with researchers and product teams, implement scheduling and provisioning, and drive high utilization with reliable services; relocation support offered and a hybrid work model with three days in the

Qualifications

• Experience with hyperscale compute systems.
• Strong programming skills and ability to interface with researchers and product teams.
• Familiarity with public clouds (Azure) and Kubernetes.

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, reliable service.

Skills

Hyperscale compute

Programming skills

Public clouds (Azure)

Kubernetes

Execution-focused mentality

AI/ML workloads

Job description

OpenAI in San Francisco invites engineers to join the Fleet Infrastructure team, shaping the world's largest GPU fleet for model training and deployment. The role involves designing, deploying and operating infrastructure systems for scalable compute and research workloads.

You will collaborate with researchers and product teams, implement scheduling and provisioning, and drive high utilization with reliable services; relocation support offered and a hybrid work model with three days in the