Senior Product Engineer, Machine Learning Accelerators
Sunnyvale, CA, USA · Senior
Sponsorship not specified$144k-$209kDetected 7 hours ago
PythonSQLGCPMachine LearningSupply ChainPCB DesignFPGAResearch
About the role
- The Machine Learning Supply Chain and Operations (MLSCO) team is responsible for the deployment of Machine Learning capacity in Google's Fleet.
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 New Product Introduction (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 cross-functional teams towards resolution of components and build quality excursions during New Product Introduction build phases.
- Ensure factory readiness, support manufacturing line bring-up, provide product debug training and gather feedback on build issues.
- Manage the bonepile and drive yield bridge analysis to improve product quality.
- Lead the technology assessment for new products.
- Co-work with the product team to influence design decisions, highlight manufacturing risks, and develop mitigation plans.
Requirements
- Bachelor's degree in Engineering or equivalent practical experience.
- 8 years of experience in manufacturing.
- Experience in Printed Circuit Board Assembly (PCBA) and related system assembly.
Nice to have
- Master's degree or PhD in Electrical, Mechanical, Industrial, Materials, or a related engineering field.
- 10 years of experience at a company developing supply chains in manufacturing and testing.
- Experience working with Original Device Manufacturers (ODMs), contract manufacturers and component suppliers for data center server accelerator products (e.g., GPU, FPGA or ASIC).
- Experience of bring-up or bench testing hardware in a lab environment.
- Knowledge of SQL queries and scripting in Python or Bash.
- 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 AI and Infrastructure team is redefining what's possible.
Compensation
- US: $144000 - $209000 (USD) + 15% bonus target + equity + benefits
This listing is sourced directly from Google's careers page and normalized into a canonical job model.