OpenAI
Systems Generalist, GPT Infrastructure
$293K–$445K
San Francisco +1 · Hybrid · Full-time · Posted Jul 17, 2026
- Location
- San Francisco
Seattle - Experience
- 8+ years, or equivalent depth of experience.
About the job
Build and operate a cross-stack platform that automates inference optimization campaigns across OpenAI and partner accelerator hardware.
What you'll do
- Design durable APIs and control-plane services for long-running optimization campaigns, including scheduling, retries, checkpoints, artifact lineage, and observability.
- Build secure partner-side software to compile, execute, verify, and benchmark candidate artifacts on accelerator hardware.
- Develop reproducible correctness and performance evaluation, qualification, and deployment workflows for optimized kernels and serving-stack changes.
What they ask for
- 8+ years of professional software engineering experience building large-scale distributed systems, infrastructure platforms, or cloud services, or equivalent depth of experience.
- Strong programming skills in one or more of C++, Python, Go, or Rust.
- Experience designing and operating highly available backend systems, APIs, job orchestration systems, or durable workflows for production workloads.
- Strong understanding of distributed systems, Linux, networking, storage, containers, and modern cloud architectures.
Nice to have
- Experience with AI infrastructure, inference-serving systems, or large-scale machine learning systems.
- Experience with compilers, runtimes, kernel optimization, or performance engineering; familiarity with LLVM, MLIR, Triton, CUDA, or ROCm is a plus.
Pay
$293K – $445K USD base salary
Tools
C++, Python, Go, Rust, Linux, LLVM, MLIR, CUDA
AI focus
Automate inference optimization by generating, compiling, executing, grading, and improving candidate kernels, runtime configurations, and serving-stack changes on accelerator hardware.
Model-written summary · the original posting is authoritative