Software Engineer, Fleet Infrastructure
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.
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.
Qualifications
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.
- Have an 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.
Pay
Compensation range: $230K - $490K.