Software Engineer, Productivity - Model Performance
OpenAI · San Francisco
CHECKED 1H AGO
Frontier labonsite$230k–$385k
At a glance
Highlights
- Boost productivity for Model Performance teams working at frontier scale.
- Improve systems supporting performance-critical training and inference.
- Fix friction in testing, debugging, and development workflows.
Ideal candidate
Autonomous, high-ownership engineer motivated by enabling others to move faster and safer. Pragmatic, empathetic collaborator who fixes systemic friction and thrives in ambiguous, high-context environments.
Requirements
- Strong experience with CI/CD, developer infrastructure, testing systems, tooling, or build/release workflows
- Strong Python skills building reliable, scalable developer tools and infrastructure
- Experience improving large-scale engineering workflows around CI reliability and debugging velocity
- Self-directed, collaborative and comfortable operating with ambiguity
- Experience in the PyTorch ecosystem is highly relevant
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