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Salary
≈ $157k – $294k per year (Estimated)
Location
In office (Mountain View)
Seniority
Staff · 8+ years exp

Confirmed on the employer's own hiring board on Oct 9, 2026. First seen by Alion on Oct 5, 2026.

Overview
Company
Impact
Profile match
Google DeepMind is the artificial intelligence research and engineering division of Alphabet, formed in 2023 by merging the London laboratory founded in 2010 with the Google Brain team. It builds frontier foundation models such as the Gemini family, generative media systems including Veo and Imagen, and scientific tools like AlphaFold, whose protein structure predictions earned a share of the 2024 Nobel Prize in Chemistry. The unit pairs long-horizon research on reinforcement learning and general intelligence with product delivery across Google Search, Workspace, Android and Google Cloud.

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.

Qualifications

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.
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