Design Verification Engineer, Cloud Silicon

Google Inc.; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Google is seeking an early-career hardware verification engineer to help shape AI/ML hardware acceleration. You will verify TPU architectures, develop constrained-random tests, and collaborate with design and verification teams to ensure high-performance AI workloads.

The role emphasizes rigorous verification across the full lifecycle and exposure to prefix AI/ML accelerators. You will work on cutting-edge TPU technology powering Google’s demanding AI/ML applications, contributing to reliable,

Qualifications

• Bachelor's degree or equivalent practical experience in Electrical Engineering.
• 1 year of experience with verification methodology such as UVM.
• 1 year of experience in verification of IP designs (IP, SoC, vector CPUs).
• Experience with SystemVerilog, SVA, and functional coverage.

Responsibilities

• Plan the verification of digital design blocks and coordinate with design engineers on verification scenarios.
• Identify and write coverage measures for stimulus and corner cases.
• Debug tests with design engineers to ensure functional correctness of blocks.
• Measure verification progress and identify coverage holes to aid tape-out.
• Create constrained-random verification environments using SystemVerilog and UVM.

Skills

SystemVerilog

UVM

SVA

Functional coverage

Education

Bachelor's degree in Electrical Engineering

Master's degree in Electrical Engineering or related field

Tools

Simulators

Version control

Regression systems

Job description

Early

Experience completing work as directed, and collaborating with teammates; developing knowledge of relevant concepts and processes.

• Bachelor's degree in Electrical Engineering, or equivalent practical experience.
• 1 year of experience with verification methodology such as universal verification methodology (UVM).
• 1 year 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 technical 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 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.

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 environment using SystemVerilog and Universal Verification Methodology(UVM).
  

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.