The opportunity
OpenAI is dedicated to ensuring that artificial general intelligence (AGI) benefits all of humanity. Our mission requires building not only world-class AI models, but also the infrastructure that enables those models to be deployed reliably, efficiently, and at global scale.
What you'll do
Design, build, and operate durable APIs and control-plane services for: multi-hour or multi-day optimization campaigns, including scheduling, retries, budgets, checkpoints, artifact lineage, and observability.
Build secure partner-side runner and grader software that can compile,: execute, verify, and benchmark candidate artifacts on third-party accelerator hardware.
Integrate hardware profiles, ISA and toolchain context, compilers, runtimes,: and inference-serving engines into a repeatable optimization workflow.
Turn research prototypes into reliable product surfaces with clear contracts,: debuggable failure modes, reproducible outputs, and excellent developer ergonomics.
Develop correctness and performance evaluation systems spanning latency,: throughput, memory use, utilization, and cost efficiency.
Build artifact, provenance, and qualification workflows that make optimized: kernels, binaries, configurations, and reports safe to review and deploy.
What they're looking for
- Collaborate with Research, Inference Engineering, Infrastructure, Security,: Product, and Strategic Partnerships to deliver production-ready solutions.
- Drive technical architecture and execution across ambiguous, cross-functional: initiatives that connect OpenAI systems with partner environments.
- + 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.
