
Senior ASIC Design Verification Engineer, Machine Learning
Sunnyvale, CAJob$163–236K/yrSeen 1 day agoSeen in employer's feed today
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At a glance
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Job overview
The Senior ASIC Design Verification Engineer will help develop and verify custom silicon for Google’s TPU technology, with a focus on TPU architecture and integration in AI/ML systems. The role involves planning verification for complex digital designs, building verification environments or formally verifying designs, measuring coverage, debugging with design engineers, and closing coverage gaps toward tape-out.
Skills & qualifications
Skills
Qualifications
Full job description
Senior ASIC Design Verification Engineer, Machine Learning
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corporate_fare Google place Sunnyvale, CA, USA
Mid
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
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XIn most instances, this position requires in-person interviews as part of the hiring process.
Minimum qualifications:
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Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
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8 years of experience with design verification.
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Experience with SystemVerilog.
Preferred qualifications:
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Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
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10 years of experience with industry standard tools, languages and methodologies relevant to the development of silicon-based ICs and chips.
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Experience with the full verification life cycle.
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Experience with three or more SoC projects/cycles.
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Experience utilizing AI productivity tools to streamline individual, business or development workflows.
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 aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
Responsibilities
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Plan the verification of complex digital design blocks by fully understanding the design specification and interacting with design engineers to identify important verification scenarios.
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Create and enhance constrained-random verification environments using SystemVerilog and UVM, or formally verify designs with SVA and industry-leading formal tools.
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Identify and write all types of coverage measures for stimulus and corner cases.
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Debug tests with design engineers to deliver functionally correct design blocks.
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Close coverage measures to identify verification holes and to show progress towards tape-out.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.
How this job compares
Set against the 2,957 open Hardware Engineer jobs on Olive Jobs, counted November 13, 2026.
- Pay
- This posting$163–236K/yr
- California median$145–215K/yr946 salary ranges
- US median$134–204K/yr2,242 salary ranges
This range's midpoint, $200K, is 10% above the California median midpoint ($181K) — in the middle half of Hardware Engineer salary ranges in California.
- Openings
- Olive Jobs lists 1,219 open Hardware Engineer jobs in California and 2,957 across the US. 1% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 8 years of experience; Hardware Engineer postings that state a minimum ask for 5 years at the median (2,457 postings).
- Education
- 1,588 of the 2,957 open Hardware Engineer jobs (54%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 13, 2026. Figures based on too few postings are left out.
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