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Google

Senior ASIC Design Verification Engineer, Machine Learning

Google Sunnyvale, California, United States · $163K–$236K/yr

Software Development · 10,001+ employees

4 h ago
machine-learning Principal (10+ yrs) Full-time United States
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About the role

You will plan and execute the verification of complex digital design blocks for TPU hardware acceleration. This involves creating constrained-random environments, identifying coverage measures, and debugging tests to ensure functional correctness.

What they look for

SystemVerilog UVM SVA Design Verification ASIC SoC Computer Architecture TPU AI/ML Hardware Acceleration Digital Design Constrained-random Verification Formal Verification Coverage Measures Silicon Development Debugging

Requirements

Candidates must have at least 8 years of experience in design verification and proficiency in SystemVerilog. A bachelor's degree in a relevant engineering field is required, with a preference for advanced degrees and extensive experience in SoC projects.

Benefits

Bonus Equity Health Insurance

Full description

Minimum qualifications:

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
  • 8 years of experience with design verification.
  • Experience with SystemVerilog.

Preferred qualifications:

  • Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
  • 10 years of experience with industry standard tools, languages and methodologies relevant to the development of silicon-based ICs and chips.
  • Experience with the full verification life cycle.
  • Experience with three or more SoC projects/cycles.

About the job:

In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google. Responsibilities:

  • Plan the verification of complex digital design blocks by fully understanding the design specification and interacting with design engineers to identify important verification scenarios.
  • Create and enhance constrained-random verification environments using SystemVerilog and UVM, or formally verify designs with SVA and industry-leading formal tools.
  • Identify and write all types of coverage measures for stimulus and corner cases.
  • Debug tests with design engineers to deliver functionally correct design blocks.
  • Close coverage measures to identify verification holes and to show progress towards tape-out.

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