Google Inc.
Product Engineer, Machine Learning Accelerators
Google Inc., Sunnyvale, California, United States, 94087
Product Engineer, Machine Learning Accelerators Google, Sunnyvale, CA, USA
Is this the role you are looking for If so read on for more details, and make sure to apply today. 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
Lead the technology assessment for new products. Co-work with the product team to influence design decisions, highlight manufacturing risks, and develop mitigation plans. Collaborate with Quality and Reliability Engineers to establish NPI and production goals for yield and long-term reliability. Validate product qualification plans, support reliability testing, and review results to ensure product performance meets requirements. Lead a cross-functional team towards resolution of components and build quality excursions during new product introduction build phases. Provide on-site and remote support for pre-production builds, manage the bone pile, and drive yield bridge analysis to improve product quality. Requirements
Bachelor's degree in Engineering or equivalent practical experience. 5 years of experience in manufacturing. Experience in PCBA (Printed Circuit Board Assembly) and related system assembly. Experience in design for manufacturability and serviceability. Preferred Qualifications
5 years of experience at a company developing supply chains in manufacturing and test. Experience working with Original Design Manufacturers (ODMs), contract manufacturers and component suppliers for data center server accelerator products (GPU, FPGA or ASIC). Experience working with contract manufacturers and suppliers to drive root cause analysis, corrective actions, and continuous process improvements. Experience with bring-up or bench testing hardware in a lab environment. Knowledge of SQL queries and scripting in Python or Bash. 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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Is this the role you are looking for If so read on for more details, and make sure to apply today. 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
Lead the technology assessment for new products. Co-work with the product team to influence design decisions, highlight manufacturing risks, and develop mitigation plans. Collaborate with Quality and Reliability Engineers to establish NPI and production goals for yield and long-term reliability. Validate product qualification plans, support reliability testing, and review results to ensure product performance meets requirements. Lead a cross-functional team towards resolution of components and build quality excursions during new product introduction build phases. Provide on-site and remote support for pre-production builds, manage the bone pile, and drive yield bridge analysis to improve product quality. Requirements
Bachelor's degree in Engineering or equivalent practical experience. 5 years of experience in manufacturing. Experience in PCBA (Printed Circuit Board Assembly) and related system assembly. Experience in design for manufacturability and serviceability. Preferred Qualifications
5 years of experience at a company developing supply chains in manufacturing and test. Experience working with Original Design Manufacturers (ODMs), contract manufacturers and component suppliers for data center server accelerator products (GPU, FPGA or ASIC). Experience working with contract manufacturers and suppliers to drive root cause analysis, corrective actions, and continuous process improvements. Experience with bring-up or bench testing hardware in a lab environment. Knowledge of SQL queries and scripting in Python or Bash. 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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