Senior Research Engineer, AI Assisted Chip Design
Google DeepMind · Mountain View, CA, USA
Frontier labonsiteSenior$174k–$252k
At a glance
Highlights
- Apply agentic AI to automate chip design from spec to production silicon.
- Drive power, performance and area gains on flagship production chips.
- Partner with research and hardware teams to ship AI into real silicon.
What they offer
- 15% bonus target
- equity
- benefits
Ideal candidate
An impact-driven builder who loves turning frontier AI research into production silicon and thrives collaborating across research and hardware teams.
Requirements
- Bachelor's degree or equivalent practical experience
- 5 years of experience with software development in one or more programming languages
- 3 years of experience building and shipping technical products
- Experience with Generative AI and Large Language Models
- 3 years of experience testing, maintaining, or launching software products and 1 year with software design and architecture
- Master's degree or PhD in Computer Science or related technical field (preferred)
- 1 year of experience in a technical leadership role (preferred)
Lab profile
About Google DeepMind
Google's AI lab building frontier models like Gemini to advance science and general intelligence.
What they build
- Gemini
- Gemma
- AlphaFold
Known for
- Frontier foundation models and GenAI
- Large-scale training with JAX, PyTorch, TensorFlow
- Model evaluation and deployment expertise
- Responsible frontier AI research
Key facts
- Founded in 2010
- Headquartered in London, UK
- Part of Google (Alphabet)
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