CPU Design Verification Engineer

About the job

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.

Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $138000 - $198000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Verify designs using verification techniques and methodologies.
• Work cross-functionally to debug failures and verify the functional correctness of the design.
• Provide test plans, including verification strategy, environment, components, stimulus, checks, and coverage, and ensure documentation is easy to use.
• Perform design verification for future CPU developments.
• Perform functional verification and performance validation for both pre-silicon.

Minimum qualifications:

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
• 3 years of experience in verification methodologies and languages such as Universal Verification Methodology (UVM) or System Verilog.

Preferred qualifications:

• Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
• Experience in low-power design verification.
• Experience with Universal Verification Methodology (UVM), System Verilog, or other scripting languages such as Python, Perl, Shell, Bash, etc.
• Experience with Advanced RISC Machine (ARM) instruction set architecture.
• Knowledge of operating systems such as Linux and Android.