Silicon Engineer, Physical Verification, DeepMind

Mountain View, CAOnsiteFull Time$217,000–$236,000 /yrPosted 1 month agoVisa sponsorship available

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Required skills

ASIC physical verification
production chips
tape-outs
block
subchips
chip-top
EDA tools
Siemens Calibre
Synopsys ICV
Cadence Innovus

Nice to have

technical physical evaluations
vendors
process nodes
IP

Role summary

Google DeepMind is seeking a Silicon Engineer specializing in Physical Verification to develop custom silicon solutions for direct-to-consumer products. This role involves contributing to next-generation hardware experiences, focusing on performance, efficiency, and integration. The engineer will work on advancing AI development, ensuring safety and ethics are prioritized. The position requires a Bachelor's degree in a related field or equivalent experience, with a strong background in ASIC physical verification, successful chip tape-outs, and proficiency with industry-standard EDA tools and programming languages like Python, C++, and Go. The role emphasizes automation, integration, and collaboration with cross-functional teams to drive physical design convergence for high-performance designs.

Minimum qualifications:

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
8 years or more of experience in ASIC physical verification, including experience with production chips.
Experience in successful tape-outs of chips at different levels of hierarchy from block to subchips and chip-top.
Experience with industry-standard Electronic design automation (EDA) tools for physical verification (e.g., Siemens Calibre, Synopsys ICV and Fusion Compiler, Cadence Innovus).
Software development experience in programming languages (e.g., Python, C++, Go).

Preferred qualifications:

Experience performing technical physical evaluations of vendors, process nodes and IP.

About the job:

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next-generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer varied learning opportunities and career pathways for those driven to achieve exceptional results through collective effort.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $217000 - $236000 (USD) + 15% bonus target

Learn more about benefits at Google.

Responsibilities:

Lead and actively contribute to the automation and integration of physical verification (DRC, ANT, LVS, ERC DFM, MIM-Cap design, chip-floorplanning and integration, IP integration, etc) in our automated flow.
Create a 'correct by construction' methodology from design planning and floorplan.
Plan and implement pad-rings, Bumps, RDL and IP integration (memories, IO's and analog IPs).
Collaborate with physical design, circuits, technology, and package leads as a physical design verification engineer, and drive the overall sign-off physical convergence for high-performance designs.
Leverage your hardware expertise to develop the software components required for physical verification automation, and their software integration in our automated flow.

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