ASIC Design Verification Engineer, TPU Cloud Compute _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.
- Minimum qualifications:
- + Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. + 4 years of experience with design verification. + Experience with SystemVerilog/Verilog.
- Preferred qualifications:
- + Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
+ 5 years of experience with industry standard tools, languages and methodologies relevant to the development of silicon-based individual contributors (ICs) and chips. + Experience in the full verification life-cycle from test planning to coverage closure. + Experience with 2 or more SoC projects/cycles. + Experience in verifying digital logic at RTL using SystemVerilog/UVM for ASICs. + Familiarity with ASIC standard interfaces and memory system architecture.
- 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 cutting-edge 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. As an ASIC Design Verification Engineer, you will be part of a team developing ASICs used to accelerate computation in data centers. You will have dynamic, multi-faceted responsibilities in areas such as project definition, design verification and silicon bring-up. You will participate in the architecture, documentation, and verification of the next generation of data center accelerators. 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 channel behind Google's groundbreaking innovations, empowering the development of our cutting-edge 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:
$138000 - $198000 (USD) + 15% bonus target + equity + benefits Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
- Responsibilities
- + Plan the verification of complex digital design blocks by understanding the design specification and interacting with design engineers to identify important verification scenarios.
+ Create a constrained-random verification environment using SystemVerilog and Universal Verification Methodology (UVM). + 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. 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.
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