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Software Engineer, DevOps

OpenAI · San Francisco

CHECKED 1H AGO

Frontier labremote$177k–$327k
Apply on the lab’s site ↗

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
More about OpenAI →
Apply on the lab’s site ↗