Manager Hardware Engineering Validation and Infrastructure, Platforms

Google · Sunnyvale, CA, USA

The Google Platforms Infrastructure Engineering team is responsible for the design, development, and delivery of Google’s compute and storage machines to satisfy Google Data Center internal use and external Cloud customers. Our team designs and builds the hardware, software, and networking technologies that power all of Google's services.

As a Hardware Engineer, you will design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You will see those systems from concepts all the way through to high-volume manufacturing. You will have the potential to shape the machinery that goes into our data centers, affecting millions of Google users.

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: $236000 - $330000 (USD) + 25% bonus target + bonus + equity + benefits

Learn more about benefits at Google.

Minimum qualifications:

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Physics, a related technical field, or equivalent practical experience.
  • 8 years of experience working in a data center systems architecture, design, hardware bring-up and validation technical environment.
  • 5 years of experience in technical leadership.

Preferred qualifications:

  • PhD in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
  • Experience using data analytics to inform strategies for qualification and design validation.
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