SoC Design Verification Engineer, Google Cloud Full Time NEW

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
• 4 years of experience with creating and using verification components and environments in standard verification methodology.
• Experience verifying digital systems using standard IP components/interconnects (microprocessor cores, hierarchical memory subsystems).
• Experience verifying digital logic at RTL level using SystemVerilog or Specman/E for FPGAs or ASICs.

Preferred qualifications:

• Master’s degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
• Experience with verification techniques, and the full verification life-cycle.
• Experience with performance verification of ASICs and ASIC components.
• Experience with ASIC standard interfaces and memory system architecture.

About The Job

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google’s direct-to-consumer products. You’ll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.

As a System on a Chip (SoC) Design Verification Engineer, you will work as part of a Research and Development team. You will build verification components, constrained-random testing, system testing, and drive verification closure.

As part of our server chip design team, you will verify digital designs. You will collaborate closely with design and verification engineers on projects and perform direct verification. You will build efficient and effective constrained-random verification environments that exercise designs through their corner-cases and expose all types of bugs. You will manage the full life-cycle of verification, which can range from verification planning, test execution, to collecting and closing coverage.

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 team 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 and Universal Verification Methodology (UVM), or formally verify designs with SystemVerilog Assertion (SVA) and industry leading formal tools.
• Identify and write all types of coverage measures for 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.

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 .