{"schemaVersion":"jobsearcher.job.v1","id":"e72d9f64cb70091e3dedd3a6","url":"https://jobsearcher.com/jobs/e72d9f64cb70091e3dedd3a6","canonicalUrl":"https://jobsearcher.com/jobs/e72d9f64cb70091e3dedd3a6","title":"CPU Power Modeling Engineer","description":"In most instances, this position requires in-person interviews as part of the hiring process.\nMinimum qualifications:\nBachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.\n\n4 years of experience in industry (e.g., Hardware) or equivalent research.\nExperience with low-power systems (e.g., dynamic and leakage, power estimation), data analytics and profiling.\nExperience in flow automation (Python, C, C++, Gemini).\nExperience with data science.\n\nPreferred qualifications:\nMaster's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.\n\nExperience in RTL design and low-power design techniques.\nExpertise in vendor tools such as PTPX, Ansys Power Artist, Synopsys Prime Power RTL.\nFamiliarity with the concept of power management, DVFS.\nFamiliarity with CPU benchmarking, performance analysis and study.\nDemonstrated knowledge of CPU microarchitecture and system level.\nAbout the job\nBe 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.\n\nUS: $138000 - $197000 (USD) + 15% bonus target + equity + benefits\n\nLearn more about benefits at Google.\nResponsibilities\nRecruit 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.\nDevelop a system level power model for battery life analysis and energy optimization.\nCollaborate 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.\nPerform workload analysis for battery life and tests definition for power analysis and optimization.\nPerform data mining analysis at the RTL and gate-level to define relevant micro-architectural transactions for high-level power estimation.\nGoogle is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.","company":"Google","rawCompany":"google","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-08-19T12:13:54.465Z","occupations":[{"code":"17-2061.00","title":"Computer Hardware Engineers","slug":"computer-hardware-engineers"},{"code":"17-2199.00","title":"Engineers, All Other","slug":"engineers-all-other"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"334111","title":"Electronic Computer Manufacturing","slug":"electronic-computer-manufacturing"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"334413","title":"Semiconductor and Related Device Manufacturing","slug":"semiconductor-and-related-device-manufacturing"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"CPU Power Modeling Engineer","description":"In most instances, this position requires in-person interviews as part of the hiring process.\nMinimum qualifications:\nBachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.\n\n4 years of experience in industry (e.g., Hardware) or equivalent research.\nExperience with low-power systems (e.g., dynamic and leakage, power estimation), data analytics and profiling.\nExperience in flow automation (Python, C, C++, Gemini).\nExperience with data science.\n\nPreferred qualifications:\nMaster's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.\n\nExperience in RTL design and low-power design techniques.\nExpertise in vendor tools such as PTPX, Ansys Power Artist, Synopsys Prime Power RTL.\nFamiliarity with the concept of power management, DVFS.\nFamiliarity with CPU benchmarking, performance analysis and study.\nDemonstrated knowledge of CPU microarchitecture and system level.\nAbout the job\nBe 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.\n\nUS: $138000 - $197000 (USD) + 15% bonus target + equity + benefits\n\nLearn more about benefits at Google.\nResponsibilities\nRecruit 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.\nDevelop a system level power model for battery life analysis and energy optimization.\nCollaborate 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.\nPerform workload analysis for battery life and tests definition for power analysis and optimization.\nPerform data mining analysis at the RTL and gate-level to define relevant micro-architectural transactions for high-level power estimation.\nGoogle is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.","datePosted":"2026-08-19T12:13:54.465Z","dateModified":"2026-08-19T12:13:54.465Z","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e72d9f64cb70091e3dedd3a6"},"url":"https://jobsearcher.com/jobs/e72d9f64cb70091e3dedd3a6"}}