CPU Power Modeling Engineer

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

Benefits offered by this job

Equity

Bonus target 15%

Benefits

Job summary

Google Austin is seeking a CPU Power Modeling Engineer (Mid) to drive energy modeling and performance analysis for our custom silicon solutions powering Google products. You will own end-to-end power projections for CPU architectures, collaborating with SoC teams to optimize battery life and efficiency.

The role requires expertise in low-power design, power estimation, data analytics, and flow automation. Equity and a 15% bonus target accompany the package.

Qualifications

• 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.

Responsibilities

• Recruit a talented individual contributor engineer to own and drive several activities related to CPU architecture and system level energy modeling, engaged performance 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.

Skills

Low-power systems

Data analytics

Power estimation

Flow automation

Data science

Education

Bachelor's degree in Electrical Engineering, Computer Engineering, or CS

Tools

Python

C

C++

Gemini

Job description

CPU Power Modeling Engineer

Google

Austin, TX, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Minimum qualifications:

• 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.

US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google

Responsibilities

• Recruit a talented individual contributor engineer to own and drive several activities related to CPU architecture and system level energy modeling, engaged performance 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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy. 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.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.