The AI and Infrastructure team is redefining whats 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 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.
Responsibilities
Plan the verification of 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/UVM, or Specman.
Identify and write all types of coverage measures for stimulus and corner-cases.
Debug tests with design engineers to deliver functionally correct design blocks.
Lead coverage measures to identify verification holes and to show progress towards tape-out.
Requirements: Minimum qualifications:
Bachelor's degree in Electrical Engineering or equivalent practical experience.
3 years of experience verifying digital logic at RTL level using SystemVerilog, or Specman/E for FPGAs or ASICs.
Experience creating and using verification components and environments in standard verification methodology.
Experience verifying digital systems using standard IP components/interconnects (e.g., microprocessor cores, hierarchical memory subsystems).
Preferred qualifications:
Masters degree in Electrical Engineering, Computer Science, or a related field.
Experience with UVM, SystemVerilog, or other scripting languages (e.g., Python, Perl, Shell, Bash, etc.).
Experience with CPU implementation, assembly language, or compute System on a Chip (SOC).
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