TPU Compute ASIC Verification Engineer (AI Hardware)

Google; Sunnyvale (CA); On-site; USD 138,000 - 197,000; Full time

Job summary

Google is hiring an ASIC Design Verification Engineer to shape the future of AI/ML hardware acceleration. You will verify complex digital designs with a focus on TPU architecture and its integration within AI/ML systems, contributing to data center accelerators and cutting-edge silicon solutions.

You will work on verification of ASICs used to accelerate computation in data centers, participating in architecture, documentation, and verification of next-generation TPU components within Google's AI

Qualifications

• Bachelor's degree in a related field or equivalent practical experience.
• 4 years of experience with design verification.
• Experience verifying digital logic at RTL using SystemVerilog/UVM for ASICs.

Responsibilities

• Plan the verification of complex digital design blocks by understanding the design specification and collaborating with design engineers to identify verification scenarios.
• Create a constrained-random verification environment using SystemVerilog and UVM.
• Identify and write 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 progress toward tape-out.

Skills

Design verification

RTL verification

SystemVerilog/UVM

Education

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

Tools

SystemVerilog

UVM

Job description

Google is hiring an ASIC Design Verification Engineer to shape the future of AI/ML hardware acceleration. You will verify complex digital designs with a focus on TPU architecture and its integration within AI/ML systems, contributing to data center accelerators and cutting-edge silicon solutions.

You will work on verification of ASICs used to accelerate computation in data centers, participating in architecture, documentation, and verification of next-generation TPU components within Google's AI