Design Verification Engineer, Cloud TPU

Position: Design Verification Engineer, Google Cloud TPU
Plan the verification of complex digital design blocks by fully understanding the design specification and interacting 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.

Close coverage measures to identify verification holes and to show progress towards tape-out.

Create a constrained-random verification environment using System Verilog and UVM.

Minimum qualifications:

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
4 years of experience with design verification.

Experience with System Verilog/Verilog.

Preferred qualifications:

Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
6 years of experience with silicon design verification.

Experience with industry-standard simulators, revision control systems and regression systems.

Experience contributing across the entire design and verification life cycle.

Knowledge of ASIC standard  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 use design and verification expertise to perform direct verification in active projects using problem-solving skills.

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 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 - $197000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits helor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
4 years of experience with design verification.

Experience with System Verilog/Verilog.