Product Engineer, Machine Learning Accelerators
Google, Sunnyvale, CA, USA
Job Summary :
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 ML 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 (EOL), with operational excellence and speed.
Responsibilities
Requirements
Preferred Qualifications
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity / expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.
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Machine Learning Engineer • Sunnyvale, CA, United States