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Power Estimation Modeling Engineer Jobs (NOW HIRING)

Share CPU Power Modeling Engineer * Copy link X In most instances, this position requires in-person ... Experience with low-power systems (e.g., dynamic and leakage, power estimation), data analytics and ...

Engineering Group, Engineering Group > Systems Engineering General Summary: Hiring in Multiple ... Over 10 years of experience in a combination of power estimation, modeling and optimization of CPU ...

Engineering Group, Engineering Group > Systems Engineering General Summary: Hiring in Multiple ... Over 10 years of experience in a combination of power estimation, modeling and optimization of CPU ...

Power Analysis & Estimation: Utilize industry-standard power estimation and optimization tools ... Advanced Modeling: Leverage deep learning and machine learning techniques to analyze, model, and ...

Power Analysis & Estimation: Utilize industry-standard power estimation and optimization tools ... Advanced Modeling: Leverage deep learning and machine learning techniques to analyze, model, and ...

CPU Power Modeling Engineer

Austin, TX · On-site

$122K - $161K/yr

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related ... Experience with low-power systems (e.g., dynamic and leakage, power estimation), data analytics and ...

Formula 1 Power Unit Plant Modeling Engineer Concord, NC, USA Posted Monday, April 6, 2026 at 4:00 AM GM Performance Power Units - Concord, NC Job Summary GM Performance Power Units (GM PPU) is ...

$77K - $105K/yr

The Senior Modeling Engineer will work across product development, advanced technology, systems ... State of Health (SOH) estimation algorithms * State of Power (SOP) prediction algorithms Vehicle ...

Senior Modeling Engineer

Plymouth, MI · On-site

$99K - $136K/yr

The Senior Modeling Engineer will work across product development, advanced technology, systems ... State of Health (SOH) estimation algorithms * State of Power (SOP) prediction algorithms Vehicle ...

Senior Modeling Engineer

Iowa, LA · On-site

$92K - $127K/yr

The Senior Modeling Engineer will work across product development, advanced technology, systems ... State of Health (SOH) estimation algorithms * State of Power (SOP) prediction algorithms Vehicle ...

The Senior Modeling Engineer will work across product development, advanced technology, systems ... SOH) estimation algorithms o State of Power (SOP) prediction algorithms Vehicle & Customer ...

We are looking for an engineer who will work on the modeling of power dissipation of various IPs including AI/ML and the corresponding power rails, peak current requirements and voltage-frequency ...

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Power Estimation Modeling Engineer information

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How much do power estimation modeling engineer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for power estimation modeling engineer in the United States is $55.99, according to ZipRecruiter salary data. Most workers in this role earn between $40.14 and $74.52 per hour, depending on experience, location, and employer.

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For Power Estimation Modeling Engineer jobs, the most frequently searched job titles are:

Infographic showing various Power Estimation Modeling Engineer job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, 3% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $116,463 per year, or $56 per hour.

CPU Power Modeling Engineer

Austin, TX • On-site

Google Inc.
Software Development • 10K+ employees

Other

Posted 23 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz


Job description

corporate_fare Google place Austin, TX, USA

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

Share CPU Power Modeling Engineer

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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.
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.

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