Software Engineer, GPU Infrastructure

7 Hours ago • All levels • $325,000 PA - $590,000 PA

Graphics Engineer

Job Description

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 will support the fleet infrastructure team at OpenAI, focusing on running the world’s largest, most reliable, and frictionless GPU fleet to support general purpose model training and deployment.

Good To Have:

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.

Must Have:

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.

Perks:

Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth
Daily meals in our offices, and meal delivery credits as eligible
Relocation support for eligible employees
Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

Add these skills to join the top 1% applicants for this job

game-texts

azure

model-deployment

ci-cd

kubernetes

This role will support the fleet infrastructure team. The fleet team focuses on running the world’s largest, most reliable, and frictionless GPU fleet to support 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

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