Member of Technical Staff - AI for Chip Design

What you'll do

• Design and build AI agents for core chip-design tasks, grounded in hardware engineering practice.
• Own agent workflows, including scaffolding, tool use, evaluation harnesses, and domain-specific infrastructure.
• Curate data, define evaluation criteria, and collaborate with ML research, post-training, and infrastructure teams on reward signals, benchmarks, and training signals.

What they ask for

• MS or PhD in Electrical Engineering, Computer Engineering, EECS, or a closely related field.
• Strong industry or research experience as an RTL design or Design Verification engineer, with understanding of the end-to-end modern chip-design flow.
• Excellent software engineering fundamentals; able to write clean, production-grade Python or typescript and build tooling.
• Ability to own ambiguous problems end to end, prototype quickly, and productionize effective solutions.

Nice to have

• Prior AI-for-chip-design or AI4EDA experience at Google, NVIDIA, or chip/EDA companies; LLM-based tooling experience for engineering workflows.
• Publications or open-source contributions at the intersection of ML and EDA, or experience as an early engineer at a deeptech or AI startup.

Tools

Python, typescript

AI focus

Develop and evaluate AI agents for chip design; contribute hardware expertise, data, benchmarks, reward signals, and training signals to AI workflows.