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Chassis Power Architect, Silicon

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

Minimum qualifications:

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
  • 6 years of experience in power optimization workflow.
  • Experience with silicon power optimization methods and techniques.
  • Experience with power management IPs.

Preferred qualifications:

  • Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
  • Experience in post-silicon power calibrations and debug.
  • Experience in low power design including UPF/CPF, multi-voltage domains, power gating, and on chip power management IP design.
  • Experience in using Electronic Design Automation (EDA) tools, such as Conformal LP, Power-Artist, DC/RC, PT/PTPX, Incisive/VCS.
  • Experience in design and analysis of full chip power, with an understanding of clock, reset, and power sequencing interactions.
  • Understanding of ASIC design flows and methodology.

About the job

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.

Pulling on your technical and leadership expertise, you lead end-to-end research projects in multiple areas of expertise across data center facilities and manage a team of direct reports working on equipment installation, troubleshooting and debugging.

As part of the Google Silicon Platform IP team, you will collaborate with hardware architects and design engineers to drive chassis power optimization in advanced technology nodes, focused on Google Tensor SoC and other associated products.

In this role, you will define power optimization methods, chart power roadmaps for chassis IPs, propose power optimization plans in consultation with cross-functional teams, guide pre-silicon power modeling and post-silicon power correlation efforts, and interface with system and chipset power architects on both power planning and power management strategies. You will focus on our next-generation chassis power architecture, microarchitecture, and power versus performance trade-offs.

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.

The US base salary range for this full-time position is $150,000-$223,000 + 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.

Responsibilities

  • Drive power methodology for design, verification, and implementation of deep sub­micron SoCs.
  • Develop innovative schemes to achieve power optimization from circuit to system level.
  • Influence generic power management IPs to drive clock, reset, and power controls.
  • Plan the methodologies for achieving power reduction. Work with tool vendors to address any power-related tool or flow issues.
  • Work with architects, logic, circuit, and physical designers to understand the power requirements and define all power budgets and roadmaps.

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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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