Silicon Engineering Manager, EMIR and Power Grid, AI/ML
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Share Silicon Engineering Manager, EMIR and Power Grid, AI/ML
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Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
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Share Silicon Engineering Manager, EMIR and Power Grid, AI/ML
Minimum qualifications:
Bachelors degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
10 years of technical experience in physical design disciplines involving power delivery and advanced process technology nodes.
3 years of experience in people management, developing employees.
Experience with power grid integrity (EMIR) from initial budgeting to analysis, verification, and final signoff.
Experience using standard EMIR tools like RedHawk, Totem, and Voltus, establishing EMIR budgets, defining signoff methodologies, and bringing up flows for new projects.
Experience with power grid design and related design trade-offs.
Preferred qualifications:
Masters degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
Experience owning EMIR at the block or full-chip level, including proactive floorplanning and defining standard cell usage with physical design owners.
Experience with power delivery voltage droop mitigation.
Knowledge of semiconductor project life cycle and quality goals of all functions.
Familiarity with low power design techniques (e.g., multi Vth/power/voltage domain design, clock gating, power gating, Dynamic Voltage Frequency Scaling).
About the job
In this role, you'll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Googles most demanding AI/ML applications. You'll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Googles TPU. Youll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
As a Silicon Engineering Manager, you will directly manage and drive the team collaborating with physical design, circuits, technology, and package leads to overcome the slowing of Moore's Law in advanced technology nodes and deliver ASICs and SoCs. You will drive competitive and reliable products by optimizing, analyzing, customizing, and verifying our power delivery network to meet performance and integrity specifications. You will manage technical evaluations of EDA tools, process nodes, and IPs and provide recommendations. You will develop new and novel power delivery and reliability solutions and methodologies that co-optimize across the entire design space, then see these through from inception to maturity and tapeout.
The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
Were the driving force behind Googles groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Googles Applicant and Candidate Privacy Policy.
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 Googles 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.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.
| Location | Sunnyvale, CA |
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