Senior RTL CAD Engineer for AI Silicon & TPU

Google LLC

Sunnyvale (CA)

On-site

USD 163,000 - 236,000

Full time

9 days ago

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Job summary

Google Sunnyvale, CA, USA, seeks a Senior CAD Engineer for RTL Design in Silicon. You will drive TPU architecture verification and chip design methodologies, leading a team to advance CAD tools and flows.

This role emphasizes leadership in end-to-end chip design and collaboration across Google’s silicon groups. You will contribute to cutting-edge AI/ML hardware acceleration, delivering designs for next‑gen TPUs with substantial impact on Google's infrastructure, while working in a high‑impact,

Qualifications

  • Bachelor's degree in Electrical Engineering or related field, or equivalent practical experience.
  • 8 years of experience with SystemVerilog, hardware design, automation, design verification test.
  • 5 years of experience working with CAD.

Responsibilities

  • Lead CAD methodology engineers to provide enablement and support for RTL Design teams.
  • Partner with chip project teams to influence and standardize design methodology across projects.
  • Perform or guide technical evaluations of tools for possible deployment.
  • Collaborate with teams across Google to identify and create strategic opportunities for improved chip design across Google.
  • Participate in design reviews and track issue resolution and engage in technical and schedule trade‑off discussions.

Skills

SystemVerilog
Hardware design
Automation
Design verification
CAD
Python
C/C++

Education

Bachelor's degree in Electrical Engineering or related field
Master's degree
PhD

Job description

Google Sunnyvale, CA, USA, seeks a Senior CAD Engineer for RTL Design in Silicon. You will drive TPU architecture verification and chip design methodologies, leading a team to advance CAD tools and flows.

This role emphasizes leadership in end-to-end chip design and collaboration across Google’s silicon groups. You will contribute to cutting-edge AI/ML hardware acceleration, delivering designs for next‑gen TPUs with substantial impact on Google's infrastructure, while working in a high‑impact,

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