Senior Research Engineer, AI Assisted Chip Design, DeepMind

What you'll do

• Build and scale agentic and evolutionary workflows for chip design; develop and curate LLM benchmarks.
• Use scalable evaluation and reinforcement-learning post-training to improve Gemini for chip-design applications.
• Apply AI to tasks including spec-to-RTL generation, RTL optimization and debugging, and automated Design Verification.

What they ask for

• Bachelor’s degree or equivalent practical experience.
• 5 years of software development experience in one or more programming languages.
• 3 years of experience building and shipping technical products, including experience in Generative AI and Large Language Models (LLM).
• 3 years of experience testing, maintaining, or launching software products, and 1 year of software design and architecture experience.

Nice to have

• Master's degree or PhD in Computer Science or a related technical field.
• 1 year of experience in a technical leadership role; experience developing accessible technologies.

Pay

USD $174000 - $252000 base salary

Tools

Gemini, AlphaEvolve, Reinforcement Learning (RL), RTL, Design Verification (DV), Large Language Models (LLM)

AI focus

Uses agentic flows, evolutionary search, LLM benchmarks, and reinforcement-learning post-training to improve AI-assisted chip design and automate design and verification tasks.