Google
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ASIC Power Management Architect
role at
Google
Posted 4 days ago. Be among the first 25 applicants.
Note: 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 .
The US base salary range for this full‑time position is $156,000–$229,000 plus bonus, equity and benefits. Compensation details listed in US role postings reflect base salary only. Learn more about benefits at Google.
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.
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 & methodology.
Preferred qualifications
Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
Experience with algorithmic development and prototyping software for power management.
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.
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.
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, 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 KPIs.
Perform algorithm development, modeling and analysis of various architecture approaches.
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 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.
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ASIC Power Management Architect
role at
Posted 4 days ago. Be among the first 25 applicants.
Note: 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 .
The US base salary range for this full‑time position is $156,000–$229,000 plus bonus, equity and benefits. Compensation details listed in US role postings reflect base salary only. Learn more about benefits at Google.
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.
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 & methodology.
Preferred qualifications
Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
Experience with algorithmic development and prototyping software for power management.
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.
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.
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, 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 KPIs.
Perform algorithm development, modeling and analysis of various architecture approaches.
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 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.
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