Minimum qualifications:
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.
We're the driving force behind Google's 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: $275000 - $382000 (USD) + 30% bonus target + equity + benefits
Responsibilities
Learn more about benefits at Google .
- Bachelor's degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
- 15 years of experience working in hardware, power delivery design, including AC/DC, DC/DC converter design and board bring up and debugging.
- 10 years of experience in technical leadership and engineering management.
- PhD in Electrical Engineering, Computer Engineering, Physics, or a related field.
- Expert knowledge in data center power delivery system design, including energy storage.
- Profound knowledge in power electronics fundamentals and various power conversion designs for data center power delivery, including modeling & simulation.
- Demonstrated ability to navigate ambiguity, resolve complex technical trade-offs, and drive consensus across large, globally distributed engineering organizations.
- Proven track record of successfully architecting and shipping volume hardware products directly to the data center.
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.
We're the driving force behind Google's 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: $275000 - $382000 (USD) + 30% bonus target + equity + benefits
Responsibilities
Learn more about benefits at Google .
- Lead and develop a comprehensive power delivery, power management roadmap and solutions for Google’s data center hardware spanning ML TPU, GPU, networking, server compute, Storage and any additional computing hardware. Support solutions for data center.
- Drive leading edge power delivery, power management and energy storage solutions from early architecture through to volume production and data center deployment. Anticipate, troubleshoot, and mitigate complex, fleet-wide deployment challenges in a high-demand environment.
- Steer technical engagements and partnerships with suppliers and ecosystem partners to ensure high-quality, high-yield volume manufacturing.
- Serve as the ultimate technical authority on system-level performance.
- Elevate the engineering standards across the organization. Provide technical guidance and mentorship to senior engineers across hardware, silicon, and data center operations teams.
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Seniority level
Director -
Employment type
Full-time -
Job function
Other, Information Technology, and Engineering -
Industries
Information Services and Technology, Information and Internet
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