Silicon Engineer, Power Analysis
Google DeepMind · Mountain View, CA, USA
CHECKED 22H AGO
Frontier labonsitesenior$217k–$236k
At a glance
Highlights
- Develop custom silicon powering Google's direct-to-consumer products.
- Architect advanced-node power solutions with block and full-chip budgets.
- Define power management from SoC architecture through post-silicon validation.
Ideal candidate
Seasoned silicon power engineer who blends hardware insight with software automation and cross-functional leadership. Passionate about efficient custom silicon and pushing performance for products used by millions.
Requirements
- 7 years of experience in ASIC power analysis & optimization including production chips
- Experience in chip tape-outs
- Experience interacting and collaborating with silicon foundries and external vendors for tapeout
- Experience with Verilog and industry-standard EDA tools for power analysis & optimization
- Experience with scripting languages (e.g., Perl, Tcl) for automation
- Software development experience
- Master's degree or PhD in Electrical Engineering, Physics or related field (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)