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.

The US base salary range for this full-time position is $163,000-$237,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Own and drive Google CPU silicon activities in the Austin laboratory facility, including daily lab management, equipment oversight, and upgrades.

• Perform test chip validation and silicon power measurements while conducting in-depth performance and power analysis.

• Develop test patterns for power analysis, yield analysis, functionality testing, and speed testing.

• Develop data science based methods to profile workloads for performance and power analysis and optimization.

Minimum qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.

• 8 years of experience working in an electrical silicon lab.

• Experience with Python-based automation and scripting (e.g., data analysis, equipment control).

• Experience using oscilloscopes, DMMs, and power analyzers.

Preferred qualifications

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

• Experience with iOS or Android system kernels.

• Experience with device calibration and trimming procedures.

• Experience with printed circuit board (PCB)-level mixed-signal validation or debug on IPs (e.g., temperature sensors, current sensors, droop detectors, ADC, or Class-D amplifiers).

• Experience with PLLs, ADC, current sensors, or ring oscillators.