Software Engineer, AI for Chip Design

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.

Are interested in learning how reinforcement learning and chip-design tools fit together.

Care about developing safe, beneficial AI.

Experience with research infrastructure, distributed systems, experiment orchestration, or ML tooling.

Familiarity with reinforcement learning, model evaluations, or training workflows.

Experience with Python, containerized tools, and reproducible development environments.

Experience with RTL, Verilog/SystemVerilog, EDA tools, formal verification, or chip-design automation.

About OpenAI

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