The opportunity
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.
What you'll do
Build developer tooling and workflows that make kernel development and: performance optimization faster, more scalable, and easier to debug, integrate, and deploy.
Develop observability, diagnostics, and validation infrastructure that makes: AI-assisted optimization systems more interpretable, reliable, and effective.
Optimize production kernels end to end by formulating optimization problems,: running search loops, analyzing bottlenecks, debugging generated implementations, and landing improvements into production.
Design abstractions, interfaces, and automation systems that accelerate: kernel optimization, correctness validation, and hardware-software co-design.
Improve AI-assisted optimization systems for specialized tasks through better: datasets, evaluations, benchmarking, and research infrastructure.
Partner across research and engineering teams to turn new ideas into: practical systems spanning production needs and long-term infrastructure strategy.
What they're looking for
- Strong systems or tooling engineering experience, with a background in: low-level software, performance optimization, or infrastructure.
- Experience with developer tooling, debugging infrastructure, profiling,: observability, or workflow design for technical users.
- Depth in kernel development, accelerator architecture, compiler systems, or: related performance-critical domains.
- Familiarity with AI-assisted systems, agentic workflows, post-training, or: reinforcement learning for engineering or research applications.
