Software Engineer, AI for Chip Design

Highlights

• Build RL environments and tooling that help AI models design real silicon chips.
• Turn chip-design workflows into reliable environments for evaluation and training.
• Help engineers develop better chips and shorten design cycles with AI.

What they offer

• Equity

Ideal candidate

Strong software engineer who owns ambiguous projects end to end and enjoys turning open research problems into reliable systems. Curious about chip design and RL and motivated by safe, beneficial AI.

Requirements

• 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 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