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System Power Modeling Engineer

GoogleNew Taipei, Banqiao District, New Taipei City, Taiwan

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Minimum qualifications:

  • Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a specialized field (e.g., Optics, Sensors, Audio/DSP, etc.), or equivalent practical experience.
  • 1 year of experience in electrical and computer engineering principals like electronics systems power consumption, power delivery, CPU/GPU operational concepts etc.
  • Experience in programming using Python, SQL or similar languages.

Preferred qualifications:

  • Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field (e.g., Optics, Sensors, Audio/DSP).
  • 2 years of experience in design, validation or power modeling and optimization of battery powered devices.
  • Experience with power measurement tools such as monsoon, digital multimeter.
  • Experience with Android tools like adb, Systrace, Git.
  • Knowledge of mobile devices including hardware and software with experience in mobile phone hardware subsystems including applications processor, cellular modem, graphics, multimedia, display, memory, Wireless-Fidelity (Wi-Fi).
  • Excellent communication and problem-solving skills.

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.The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first-party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

Responsibilities

  • Develop system-level power models for battery life projection and analysis across device and subsystem states.
  • Define, develop, or utilize tools and methods for detailed power analysis of subsystems in order to enable use-case level analysis.
  • Collaborate with cross-functional hardware, software, and systems teams to perform power/performance trade-off analysis and optimizations for use-cases.
  • Propose and drive implementation of power optimization features across hardware and software.
  • Participate in power and performance benchmarking of hardware (e.g., System on a chip (SoC), Central Processing Unit (CPU), Graphics Processing Unit (GPU), Power Management Integrated Circuits (PMICs), etc), software (e.g., firmware, kernel, Android/iOS, and more), and applications (e.g., multimedia, Generative AI, etc) across internal and external platforms.

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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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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