Software Engineer, Infranomics
OpenAI · San Francisco · New York City · Seattle
Frontier labonsitesenior$385k–$445k
At a glance
Highlights
- Build cost attribution systems linking infra spend to workloads and teams.
- Create budgeting and forecasting tools to guide capacity and procurement decisions.
- Improve efficiency of GPU and compute infrastructure behind ChatGPT and API.
Ideal candidate
Hands-on infrastructure engineer with 7+ years owning complex systems who cares about data correctness and efficiency. Thrives with autonomy translating ambiguous business problems into measurable improvements across engineering and finance.
Requirements
- 7+ years designing, building and operating production software and distributed systems
- Built systems for infrastructure efficiency, cost attribution, metering, budgeting or capacity planning
- Hands-on engineer comfortable across architecture, implementation, debugging and operations
- Understands how compute, storage and networking consumption translates into cost and tradeoffs
- Deeply cares about data correctness when building from complex billing and operational data
- Works effectively across engineering, finance, product and leadership to drive adoption
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
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