OpenAI
Software Engineer, CI/CD & ML Infrastructure
$318K–$485K
San Francisco · Hybrid · Full-time · Posted Oct 19, 2026
- Visa sponsorship
- Candidates may need to meet certain legal status requirements under U.S. export control laws and regulations.
About the job
Builds CI/CD and qualification systems that test frontier models and software for OpenAI custom AI accelerators, measuring correctness, performance, and stability from code changes through production releases.
What you'll do
- Build CI/CD pipelines for regression testing, benchmarking, stability, and release qualification.
- Design scalable testing, performance baselines, regression detection, triage, and GitOps practices.
- Shape monorepo and developer infrastructure, and partner with model, systems, and hardware teams to automate release gates.
What they ask for
- Experience building or operating large-scale CI/CD, developer infrastructure, test automation, or production engineering systems.
- Understanding of software delivery practices such as GitOps, release promotion, rollback, reproducibility, and policy-driven automation.
- Ability to design regression and performance benchmarking systems with stable baselines and actionable failure diagnosis.
- Proficiency in Python, Go, Rust, C++, or another language used for infrastructure and automation.
Nice to have
- Experience with monorepos, build systems, dependency graphs, test selection, or change-impact analysis.
- Experience with distributed systems, schedulers, containers, clusters, or heterogeneous compute infrastructure.
Pay
$318K – $485K USD base salary
Tools
Python, Go, Rust, C++, GitOps
AI focus
Qualifies frontier model workloads running on custom AI accelerators through CI/CD, regression testing, and performance benchmarking.
Model-written summary · the original posting is authoritative