ASIC Power Management Architect

_corporate_fare_ Google _place_ San Diego, CA, USA; Mountain View, CA, USA

**Mid**

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

_info_outline_

XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: **San Diego, CA, USA; Mountain View, CA, USA** .

**Minimum qualifications:**

+ Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.

+ 8 years of experience with ASIC power management architecture.

+ Experience with hardware or software power control flows and methodology.

**Preferred qualifications:**

+ Master's degree or PhD in Electrical Engineering, Computer Engineering, or Computer Science, with an emphasis on computer architecture.

+ Experience with power components, power modeling, and power management techniques such as Voltage Frequency Scaling (DVFS/AVS), etc.

+ Experience modeling and validating in virtual prototyping and TLM environments.

+ Experience with algorithmic development and prototyping software for power management.

+ Knowledge of the impact of software and architectural design decisions on power and thermal behavior of the system, such as thermal mitigation and scheduling, and cross-layer policy design.

**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: $163000 - $237000 (USD) + 15% bonus target + bonus + equity + benefits

Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .

**Responsibilities**

+ Drive architectural analysis for mempath traffic patterns, from collecting silicon traffic patterns for key tensor CUJs, to mapping them to pre-silicon CUJ estimates and closing correlation gaps.

+ Oversee end-to-end correlation from pre-silicon micro benchmark power estimates to CUJ modeling estimates, with a focus on architectural assumptions used for modeling.

+ Propose architectural features/requirements for mempath to improve overall Key Performance Indicators (KPIs).

+ Perform algorithm development, modeling, and analysis of various architecture approaches.

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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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

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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.