Software Engineer, Fleet Infrastructure
OpenAI · San Francisco · New York City
CHECKED 1H AGO
Frontier labonsite$230k–$490k
At a glance
Highlights
- Operate one of the world's largest GPU fleets for training and deployment.
- Build user-friendly scheduling to maximize GPUs doing useful work.
- Ensure fast model startup with high-performance snapshot delivery.
What they offer
- Equity
- Relocation assistance
Ideal candidate
Execution-focused infrastructure engineer who thrives at hyperscale and cares deeply about reliability and user needs. You enjoy partnering with researchers to keep massive compute fleets highly utilized and low-maintenance.
Requirements
- Experience with hyperscale compute systems
- Strong programming skills
- Experience working in public clouds (especially Azure)
- Experience working in Kubernetes
- Execution-focused mentality with rigorous focus on user requirements
- Understanding of AI/ML workloads (bonus)
- remote policy
- Hybrid, 3 days in office per week
Lab profile
About OpenAI
Builds safe frontier AI models and products like ChatGPT for broad benefit.
What they build
- ChatGPT
- OpenAI API
- Frontier AI models
Known for
- Frontier-scale distributed ML training
- Massive GPU fleet and data center operations
- Exabyte-scale data lakes and streaming
- AI alignment and safety research
Key facts
- Operates one of the world's largest GPU fleets