About the job

Be part of a 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.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Responsibilities

• Provide engineering insight to design and develop system and subsystem boards for next generation server and storage products.

• Work with Google Platform teams and cross-functional teams on new technology and solutions.

• Provide sustaining engineering support and optimize hardware design on existing products.

• Develop appropriate specifications and test procedures as necessary to ensure design quality by collaborating, supervising, mentoring, and motivating suppliers to design and deliver high performance products.

• Design management hardware including material selection, heat sinks, heat exchangers, air movers, pumps, coldplate, Quick Disconnect (QD), and all supporting equipment, work with internal Manufacturing teams and external fabrication vendors during the product development cycle.

Minimum qualifications

• Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.

Preferred qualifications

• Master's degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Physics, or a related field.

• Experience with architectures and data center workloads.