Senior ASIC Design Verification Engineer, Google Cloud

Socket.dev; Sunnyvale (CA); On-site; USD 163,000 - 236,000; Full time

Job summary

Google is seeking a senior verification engineer to shape and validate the TPU hardware for AI/ML workloads. You will verify complex digital designs, collaborating with design and verification teams to build robust verification environments using SystemVerilog, UVM, and formal methods.

You will own verification planning through test execution and coverage closure, contributing to tape-out readiness and the reliability of Google's accelerated AI hardware stack.

Qualifications

• Bachelor's degree or equivalent practical experience in EE/CE/CS.
• 8 years of design verification experience.
• Experience with SystemVerilog.

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 and enhance constrained-random verification environments using SystemVerilog and UVM, or formally verify designs with SVA and industry leading formal tools.
• 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.

Skills

SystemVerilog

UVM

Design verification

Education

Bachelor's degree or equivalent

Master's/PhD in ECE/CS

Tools

SVA

Formal verification tools

SystemVerilog tooling

Job description

Minimum qualifications:

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

Preferred qualifications:

• Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
  
• 10 years of experience with industry standard tools, languages and methodologies relevant to the development of silicon-based ICs and chips.
• Experience with the full verification life cycle.
• Experience with three or more SoC projects/cycles.

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 use your design and verification expertise to verify complex digital designs. You will collaborate closely with design and verification engineers in active projects and perform exceptional verification. Using your UVM and SystemVerilog coding and problem solving skills, 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 be responsible for the full life cycle of verification, from verification planning to 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 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: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

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 and enhance constrained-random verification environments using SystemVerilog and UVM, or formally verify designs with SVA and industry leading formal tools.
  
• 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.