Senior Design Verification Engineer, Google Cloud

Technology, Data & Digital · Software & Web Development · Software Engineering · Embedded Systems

In short

Google Cloud is hiring a Senior Design Verification Engineer in Bengaluru, India, to work on AI/ML hardware acceleration, specifically Tensor Processing Units (TPUs). The role involves full verification life-cycle ownership, from planning to coverage closure, ensuring the reliability of AI/ML workloads on TPU hardware and collaborating with design teams to verify complex digital designs.

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).

Requirements

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).

Desired 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.

Benefits

Opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications.
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU.
Contribute to the innovation behind products loved by millions worldwide.
Leverage design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
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.
Collaborate closely with design and verification engineers in active projects and perform verification.
Work on developing cutting-edge AI models, delivering unparalleled computing power to global services, and providing essential platforms that enable developers to build the future.
Opportunities to work on TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Skills

SystemVerilogSpecman/EFPGAASICUVM

#AI/ML#Hardware Acceleration#TPU#Networking#Verification#RTL#FPGA#ASIC

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