Minimum qualifications Bachelor s degree in Electrical Engineering or equivalent practical experience 4 years of experience with verification methodology such as Universal verification methodology UVM 2 years of experience in the verification of IP designs such as IP SoC vector CPUs etc Experience with SystemVerilog SVA and functional coverage Preferred qualifications Master s degree in Electrical Engineering or a related field Experience with industry-standard simulators revision control systems and regression systems Experience with the full verification life cycle Experience in Artificial Intelligence Machine Learning AI ML Accelerators or vector processing units Excellent problem solving and communication skills 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 In this role you will own the full verification life cycle from verification planning and test execution to coverage closure with an emphasis on meeting stringent AI ML performance and accuracy goals build constrained-random verification environments capable of exposing corner-case bugs and ensuring the reliability of Artificial Intelligence Machine Learning AI ML workloads on Tensor Processing Unit TPU hardware You will collaborate closely with design and verification engineers in active projects and perform verification The ML Systems Cloud AI MSCA organization at Google designs implements and manages the hardware software machine learning and systems infrastructure for all Google services Search YouTube etc and Google Cloud Our end users are Googlers Cloud customers and the billions of people who use Google services around the world We prioritize security efficiency and reliability across everything we do - from developing our latest TPUs to running a global network while driving towards shaping the future of hyperscale computing Our global impact spans software and hardware including Google Cloud s Vertex AI the leading AI platform for bringing Gemini models to enterprise customers Responsibilities Plan the verification of digital design blocks and interact with design engineers to identify important verification scenarios Identify and write all types of coverage measures for stimulus and corner-cases Debug tests with design engineers to deliver functionally correct design blocks Measure to identify verification holes and to show progress towards tape-out Create a constrained-random verification workplace using SystemVerilog and Universal verification methodology UVM 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 Google s EEO Policy and EEO is the Law If you have a disability or special need that requires accommodation please let us know by completing our Accommodations for Applicants form