Training - Runtime Foundations Engineer
OpenAI · San Francisco
CHECKED 1H AGO
Frontier labremote$266k–$385k
At a glance
Highlights
- Design core distributed runtime powering frontier-scale model training runs.
- Orchestrate thousands of machines as a unified system for large training jobs.
- Boost reliability and observability to keep long-running jobs stable at scale.
What they offer
- Equity
- Relocation assistance
Ideal candidate
Systems thinker who loves building and operating large-scale platforms end to end and cares deeply about performance and reliability. Thrives in ambiguous, high-ownership environments focused on accelerating research velocity.
Requirements
- Experience developing distributed systems
- Understand how large systems behave and fail at scale
- Love being both a developer and an operator
- Care deeply about performance, correctness, and reliability
- Strong software engineering skills and proficient in Rust or another systems language (e.g. C++)
- Solid Linux knowledge with systems-level debugging, performance analysis, and memory profiling
- Comfortable developing asynchronous and concurrent systems
- Thrive in high-ownership environments with light process
- 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