Design Verification Engineer, TPU, Silicon, Google Cloud

Google Inc.; Bengaluru; On-site; INR 1,600,000 - 2,200,000; Full time

Job summary

Google Inc. seeks a talented engineer in Bengaluru to lead the verification of AI/ML hardware acceleration. You will own the full verification life-cycle of TPU technology, ensuring functionality and performance alignment with Google's innovative projects.

This position requires strong expertise in verification, digital design and communication skills. Join a team passionate about redefining AI capabilities while delivering a collaborative work environment and equal opportunities.

Qualifications

• 4 years of experience in verification, including FPGA or ASIC.
• Experience in the full verification life cycle.
• Experience with standard IP components/interconnects.

Responsibilities

• Plan verification of digital design blocks with engineers.
• Identify coverage measures for stimulus and corner-cases.
• Create a constrained-random verification environment.

Skills

Verification of digital logic

SystemVerilog or Specman/E

AI/ML hardware acceleration

Debugging skills

Communication skills

Education

Bachelor's degree in Electrical Engineering

Master's degree in Electrical Engineering or related field

Tools

Industry-standard simulators

Revision control systems

Universal Verification Methodology (UVM)

Job description

Qualifications

• Bachelor's degree in Electrical Engineering or equivalent practical experience.
• 4 years of experience in verification, verifying digital logic at RTL level using SystemVerilog or Specman/E for Field Programmable Gate Arrays (FPGAs) or ASICs.
• Experience verifying digital systems using standard IP components/interconnects (e.g., microprocessor cores, hierarchical memory subsystems).
• Experience in verification and debug of IP/subsystem/SoCs in the networking domain such as packet processing, bandwidth management, congestion control.

Preferred qualifications

• Master's degree in Electrical Engineering or a related field.
• Experience with industry-standard simulators, revision control systems, and regression systems.
• Experience in Artificial Intelligence/Machine Learning (AI/ML) accelerators or vector processing units.
• Experience with the full verification life cycle.
• 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 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 team behind Google's groundbreaking innovations, empowering the development of our 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.