Senior Design Verification Engineer, Google Cloud

Google; Bengaluru; On-site; INR 5,500,000 - 7,500,000; Full time

Job summary

Google seeks a seasoned verification engineer to shape TPUs and AI/ML hardware acceleration. You’ll own the full verification life-cycle and drive tape-out readiness for cutting-edge TPU architectures integrated into AI/ML workloads.

You will collaborate with design and verification teams, write coverage, build constrained-random environments, and use SystemVerilog and UVM to ensure performance and accuracy in demanding AI workloads.

Qualifications

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

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).

Skills

RTL verification

SystemVerilog

Specman/E

UVM

IP/SoC verification

Networking hardware

problem solving

communication

Education

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field

8 years verification experience

Tools

industry-standard simulators

revision control systems

regression systems

Job description

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
• 8 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 in verification and debug of IP/subsystem/SoCs in the Networking domain such as packet processing, bandwidth management, congestion control desired.
• Experience verifying digital systems using standard IP components/interconnects (e.g., microprocessor cores, hierarchical memory subsystems).

Minimum qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
• 8 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 in verification and debug of IP/subsystem/SoCs in the Networking domain such as packet processing, bandwidth management, congestion control desired.
• Experience verifying digital systems using standard IP components/interconnects (e.g., microprocessor cores, hierarchical memory subsystems).

Preferred qualifications

• Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
• 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 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 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.