New Taipei City, TWN
1 day ago
SoC Power Architect, Silicon
Google welcomes people with disabilities. Minimum qualifications: + Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. + Experience with Tensor Flow, Android or IOS frameworks (e.g., TFLite / CoreML). + Experience with Compiling, running and analyzing Machine Learning Models on Android or iOS. + Experience in Python or other programming language. Preferred qualifications: + Experience with pre/post Silicon performance, power projection or correlation methodologies. + Experience with AI/ML accelerators for mobile, architecture and performance. + Experience with frameworks like DarwiNN or Xeno. Be part of a diverse 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. + Drive Product Privacy Assessment (PPA) characterization and analysis for Google and participant System on a Chip (SoCs), including but not limited to power breakdowns, power/performance benchmarking, IP-level power, use case power and performance, thermals, power efficiency, etc. + Benchmark Google SoCs Artificial Intelligence/Machine Learning (AI/ML) Power and Performance with participant SoCs. + Create custom AI/ML microbenchmarks to surface architecture bottlenecks. + Perform breakdowns of participants device’s to enable IP level power measurements and analysis. 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/OFCCP_EEO_Post.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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