OpenAI
Systems Generalist, GPT Infrastructure
San Francisco · Contract
Sponsorship not specifiedDetected 4 days ago
PythonGoC++Distributed SystemsLinuxMachine LearningNLPResearch
About the role
- This is a deeply cross-stack role, combining strong software engineering fundamentals with systems thinking and performance intuition.
- 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.
Responsibilities
- 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.
- 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.
- 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.
Requirements
- 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.
- Experience debugging complex systems and using measurement, profiling, and benchmarks to guide engineering decisions.
- Experience with compilers, runtimes, kernel optimization, or performance engineering
- Familiarity with GPUs, accelerators, hardware architecture, ISA concepts, or vendor toolchains.
- Experience with inference-serving frameworks or engines such as vLLM, SGLang, Triton Inference Server, or similar systems.
Nice to have
- Preferred Skills
- familiarity with technologies such as LLVM, MLIR, Triton, CUDA, or ROCm is a plus.
Company info
- About OpenAI
- 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.
- As demand for AI continues to grow, we are expanding the ways OpenAI can bring high-performance inference capacity online across a diverse hardware ecosystem.
- The GPT Infrastructure team builds software that turns advanced inference and optimization research into production products.
- One focus is enabling strategic infrastructure partners and accelerator vendors to qualify and onboard new compute without a bespoke porting and optimization effort for every hardware platform.
- We build the control planes, APIs, secure partner-side execution environments, evaluation systems, artifact pipelines, and operational tooling that make these workflows repeatable and trustworthy.
- The work sits at the intersection of distributed systems, AI inference, compilers and runtimes, performance engineering, security, and external partnerships.
- We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241.
- At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared.
This listing is sourced directly from OpenAI's careers page and normalized into a canonical job model.