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Google Competitive Analysis Power Engineer, Pixel in Mountain View, California

Minimum qualifications:

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Physics, a related technical field, or equivalent practical experience.

  • 2 years of experience in system-level power, hardware/software optimizations, mobile competitive analysis, or a related technical field, or 1 year with an advanced degree.

Preferred qualifications:

  • Experience with power/performance bench-marking analysis.

  • Experience with programming or scripting, as well as Android/iOS app development.

  • Experience with basic hardware rework, identifying and removing/replacing components on a PCB, and instrumentation (e.g., DAQs, oscilloscopes).

  • Experience analyzing mobile phone workloads in multimedia processing, camera pipeline, render and display processing, and cellular modem/WiFi processing.

  • Excellent communication and collaboration skills.

The Pixel Power team is responsible for all aspects of power for Pixel devices, from concept to volume production to post deployment, and for delivering battery life for users.

As a Competitive Analysis Power Engineer, you will be responsible for characterizing and analyzing power and performance on internal and external devices across diverse hardware and software domains. You will develop design recommendations for both hardware and software that improve battery life across the Pixel product portfolio.

The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world.

The US base salary range for this full-time position is $122,000-$178,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google (https://careers.google.com/benefits/) .

  • Work with cross-functional hardware, software, and systems teams to perform power/performance trade-off analysis and optimizations for a wide variety of use-cases.

  • Define, develop, or utilize tools and methods for detailed power measurements and analysis including hardware modification, system profiling/tracing, or writing custom test scripts or applications.

  • Power and performance benchmarking of hardware (e.g., SoC, CPU, GPU, PMICs, and more), software (e.g., firmware, kernel, Android/iOS, and more), and applications (e.g., multimedia, generative AI, and more) across internal and external platforms.

  • Propose and drive implementation of innovative power optimization features across hardware and software.

Google 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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

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