Software Engineer, AI for Chip Design

📋 Description

• Build and maintain infrastructure for reinforcement learning environments, evaluations, and
• Integrate electronic design automation (EDA) tools into workflows for RTL generation, verification
• Improve experiment reliability, reproducibility, observability, and performance; debug failures
• Develop tooling and model harnesses that let researchers test ideas quickly and measure correctness
• Collaborate with researchers and engineers to turn successful experiments into reusable systems and
• Own ambiguous projects end to end, communicate progress, and use results to guide next iteration.

🎯 Requirements

• Strong software engineering fundamentals, with experience designing, implementing, and debugging
• Ability to work across a stack, investigate unfamiliar failures, and make practical tradeoffs
• Independent delivery of substantial software projects, with clear explanation of technical
• Comfortable working with researchers on evolving requirements and turning open-ended problems into
• Interest in learning how reinforcement learning and chip-design tools fit together.
• Commitment to developing safe, beneficial AI.

🎁 Benefits

• $266K – $468K salary
• Equity offered