Senior Product Engineer, Machine Learning Accelerators

About the role

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.

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.
• Provide on-site and remote support for pre-production builds.
• 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.

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.
• Experience in design for manufacturability and serviceability.

Preferred qualifications

• 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 working with contract manufacturers and suppliers to drive root cause analysis, corrective actions and continuous process improvements.
• Experience of bring-up or bench testing hardware in a lab environment.
• Knowledge of SQL queries and scripting in Python or Bash.

Benefits

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $144000 - $209000 (USD) + 15% bonus target + equity + benefits