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Alphabet · Mountain View, CA

Silicon Engineer, Physical Verification, DeepMind

Mountain View, CA, USAOperations

Listed on Alphabet’s official careers site. Listed as of October 23, 2026. Check that it is still open and apply there.

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Job description

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 .

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