CPU Power Modeling Engineer

Google LLC; Austin (TX); On-site; USD 138,000 - 197,000; Full time

Job summary

Google LLC in Austin, TX, seeks an experienced CPU Architect to push the frontier of custom silicon for Google's direct-to-consumer products. You will own energy modeling, power analysis, and system-level optimization to deliver high-performance, power-efficient CPUs.

The role emphasizes collaboration across SoC teams and benchmarking across workloads. The team combines AI, software, and hardware to create fast, seamless computing experiences.

Qualifications

• Bachelor's degree or equivalent practical experience in Electrical/Computer Engineering or related field.
• 4 years of industry experience (Hardware) or equivalent research.
• Experience with low-power systems, power estimation, data analytics and profiling.
• Experience in flow automation (Python, C, C++, Gemini).
• Experience with data science.

Responsibilities

• Recruit a talented individual contributor engineer to own and drive CPU architecture and system-level energy modeling, performance and power analysis, optimization, simulation and rollups.
• Develop a system-level power model for battery life analysis and energy optimization.
• Collaborate with SoC and CPU Power Teams on power projections and requirements, including silicon power capture and profiling for benchmarks and workloads.
• Perform workload analysis for battery life and tests definition for power analysis and optimization.
• Perform data mining analysis at RTL and gate-level to define micro-architectural transactions for high-level power estimation.

Skills

CPU architecture

Power modeling

Energy analysis

Python

C

C++

Education

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

Tools

Gemini

Ansys Power Artist

Synopsys Prime Power RTL

PTPX

Job description

corporate_fare Google place Austin, TX, USA

X In most instances, this position requires in-person interviews as part of the hiring process.

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
• 4 years of experience in industry (e.g., Hardware) or equivalent research.
• Experience with low-power systems (e.g., dynamic and leakage, power estimation), data analytics and profiling.
• Experience in flow automation (Python, C, C++, Gemini).
• Experience with data science.

Preferred qualifications:

• Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
• Experience in RTL design and low-power design techniques.
• Expertise in vendor tools such as PTPX, Ansys Power Artist, Synopsys Prime Power RTL.
• Familiarity with the concept of power management, DVFS.
• Familiarity with CPU benchmarking, performance analysis and study.
• Demonstrated knowledge of CPU microarchitecture and system level.

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.

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 - $197000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google.

• Recruit a talented individual contributor engineer to own and drive several activities related to CPU architecture and system level energy modeling,engagedperformance and power analysis, power optimization, simulation and rollups.
• Develop a system level power model for battery life analysis and energy optimization.
• Collaborate with the SoC and CPU Power Teams on various power projections and requirements for our CPU. This includes silicon power capture and profiling of CPUs for benchmarks and other daily workloads.
• Perform workload analysis for battery life and tests definition for power analysis and optimization.
• Perform data mining analysis at the RTL and gate-level to define relevant micro-architectural transactions for high-level power estimation.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.