Senior Product Engineer, ML Accelerators

Minimum Qualifications

• Bachelor's degree in Engineering or equivalent practical experience.
• 8 years of experience in manufacturing.
• Experience in design for manufacture and serviceability.
• Experience in PCBA (Printed Circuit Board Assembly) and related system assembly.

Preferred Qualifications

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.

The Machine Learning Supply Chain and Operations (MLSCO) team is responsible for the deployment of Machine Learning capacity in Google’s Fleet. MLSCO-NPI leads cross-functional program planning and execution to deliver next generation Machine Learning systems from concept to end of life with operational speed.

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 keep our networks up and running, ensuring our users have the best and fastest experience possible.

Responsibilities

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