Software Engineer, DevOps
OpenAI · San Francisco
CHECKED 1H AGO
Frontier labremote$177k–$327k
At a glance
Highlights
- Define model CI strategy for frontier models running on custom silicon.
- Make correctness, performance and stability measurable on every change.
- Shorten feedback loops from individual commits through production releases.
What they offer
- Equity
Ideal candidate
Infrastructure-minded builder who has operated large-scale CI/CD at scale and cares deeply about reliability, observability and developer experience. Thrives partnering across hardware and software teams to turn complex workloads into trusted production signals.
Requirements
- Built or operated large-scale CI/CD, developer infrastructure, test automation or production engineering systems
- Understand modern software delivery including GitOps, release promotion, rollback and reproducibility
- Experience designing monorepos, build systems, dependency graphs and test selection
- Can design regression and performance-benchmarking systems with stable baselines and actionable diagnosis
- Proficient in Python, Go, Rust, C++ or another language for reliable infrastructure and automation
- Worked with distributed systems, schedulers, containers, clusters or heterogeneous compute infrastructure
- Can collaborate with model and systems engineers to turn accelerator workloads into repeatable qualification
- May need to meet U.S. export control legal status requirements
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