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Senior Power Management Engineer, Platforms Engineering

  • Sunnyvale, CA, United States
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Job details

Experience
4 years of experience working in a hardware design, bring-up, and debugging technical environment, or 3 years of experience with an advanced degree.
Posting language
English

Original job description

Minimum qualifications:

  • Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
  • 4 years of experience working in a hardware design, bring-up, and debugging technical environment, or 3 years of experience with an advanced degree.
  • Experience with power modeling, power architecture, or power management techniques.
  • Experience in power management techniques at both chip and system levels (including voltage frequency scaling, power states, and thermal management).
  • Experience in inter-chip power management interface (e.g., SPMI, AVSBus, and PMBus).

Preferred qualifications:

  • Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field.
  • 1 year of experience in technical leadership.
  • Experience in defining and implementing power management architectures and designs.
  • Experience with real-time control systems.
  • Knowledge of power electronics fundamentals and various power conversion technologies for data center power delivery.
  • Knowledge of power converter modeling and simulation and understanding of computer and system architectures.

Our computational issues are so big, complex and unique we can't just purchase off-the-shelf hardware, we've got to make it ourselves. Our Platforms Team designs and builds the hardware, software and networking technologies that power all of Google's services.

In this role, you will design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You will develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work will have the potential to shape the machinery that goes into our data centers affecting millions of Google users. As a key member of the team, you will manage projects in multiple areas with your expertise. 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: $159000 - $230000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

  • Define, design, and implement power management solutions for Google’s data center hardware spanning ML TPU, GPU, Networking, Server compute, Storage, and any additional computing hardware and supporting solutions for data centers.
  • Perform power management design validation and root-cause analyses. Lead the triage and resolution of power management issues.
  • Develop methodologies for system power modeling and validation of power management features.
  • Engage suppliers and ecosystem partners to develop high-quality power management solutions.
More about this job

Skills

  • Electrical engineering
  • Computer engineering
  • Design hardware
  • Debugging
  • Leadership
  • Control systems
  • Power electronics
  • Manage several projects
  • Google Cloud
  • Research
  • ML

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