About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role You will define and build the CI/CD systems that qualify frontier models and the software stack running on OpenAI’s custom AI accelerators. Your work will make correctness, performance, and stability measurable on every change, from individual commits through production releases. This role spans model workloads, accelerator software, systems infrastructure, and developer productivity. You will establish scalable CI/CD, GitOps, and monorepo practices; design trustworthy regression and benchmarking pipelines; and partner with model, compiler, kernel, runtime, firmware, and hardware teams to shorten feedback loops without compromising production readiness. In this role, you will: Define the model CI strategy for frontier models running on OpenAI custom silicon and integrated accelerator systems. Build production CI/CD pipelines for functional regression, performance benchmarking, software stability, and release qualification. Design representative test matrices across models, configurations, hardware generations, software components, and deployment environments. Create reliable performance baselines, regression detection, bisect and triage workflows, and clear ownership for failures. Establish GitOps practices for reproducible configuration, promotion, rollback, auditability, and environment consistency. Shape monorepo architecture, dependency management, build and test boundaries, change validation, and developer workflows at scale. Develop scalable orchestration
