The opportunity
OpenAI develops models that can reason through complex problems and hardware designed for the demands of advanced AI. AI for Chips connects these efforts: applying increasingly capable AI systems to the work of semiconductor engineering.
What you'll do
Build and maintain infrastructure for reinforcement learning environments,: evaluations, and long-running experiments.
Integrate electronic design automation (EDA) tools into workflows for RTL: generation, verification, and physical design optimization.
Improve experiment reliability, reproducibility, observability, and: performance; debug failures across tools, services, and infrastructure.
Develop tooling and model harnesses that let researchers test ideas quickly: and measure correctness and power, performance, and area (PPA).
Collaborate with researchers and engineers to turn successful experiments: into reusable systems and training workflows.
Own ambiguous projects end to end, communicate progress, and use results to guide the next iteration.
What they're looking for
- Have strong software engineering fundamentals, with experience designing,: implementing, and debugging reliable systems.
- Can work across a stack, investigate unfamiliar failures, and make practical: tradeoffs between speed, correctness, and maintainability.
- Have independently delivered substantial software projects and can explain: your technical decisions and their impact.
- Are comfortable working with researchers on evolving requirements and turning: open-ended problems into working software.
