Silicon Engineer, Physical Verification
Google DeepMind · Mountain View, CA, USA
CHECKED 23H AGO
Frontier labonsitesenior$217k–$236k
At a glance
Highlights
- Develop custom silicon powering Google's direct-to-consumer products.
- Shape next-generation hardware delivering performance, efficiency, integration.
- Drive sign-off physical convergence for high-performance designs.
What they offer
- 15% bonus target
Ideal candidate
A seasoned chip integrator who loves automating verification and driving convergence across teams to ship high-performance custom silicon for beloved consumer products.
Requirements
- Bachelor's degree in Electrical, Computer Engineering, Computer Science or related field or equivalent experience
- 8+ years in ASIC physical verification including production chips
- Experience with successful tape-outs from block to subchip and chip-top
- Experience with EDA physical verification tools such as Calibre, ICV, Fusion Compiler, Innovus
- Software development experience in Python, C++ or Go
- Experience performing technical physical evaluations of vendors, process nodes and IP
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)