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Senior Product Engineer, Machine Learning Accelerators

Google
Sunnyvale, CA Full-time 12/24/2025 $138k - $202k per year
Undergraduate with 5+ Years of ExperienceMaster's with 2+ Years of Experience
Approval 99%Total filings 5,616New hires 2,898
👑 Elite Sponsor
FY 2025

Job Description

Join Google's Machine Learning Supply Chain and Operations team to lead technology assessments for new products and collaborate on design decisions. You will work on manufacturing processes, ensuring product quality and reliability while driving continuous improvements in a fast-paced environment.

Requirements

  • Bachelor's degree in Engineering or equivalent practical experience.
  • 8 years of experience in manufacturing.
  • Experience in PCBA (Printed Circuit Board Assembly) and related system assembly.
  • Experience in design for manufacturability and serviceability.
  • Master's degree or PhD in Electrical, Mechanical, Industrial, Materials, or a related engineering field (preferred).
  • 10 years of experience at a company developing supply chains in manufacturing and testing (preferred).
  • Experience working with Original Device Manufacturers (ODMs), contract manufacturers and component suppliers for data center server accelerator products (GPU, FPGA or ASIC) (preferred).
  • Experience working with contract manufacturers and suppliers to drive root cause analysis, corrective actions and continuous process improvements (preferred).
  • Experience of bring-up or bench testing hardware in a lab environment (preferred).
  • Knowledge of SQL queries and scripting in Python or Bash (preferred).

Responsibilities

  • Lead the technology assessment for new products.
  • 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 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.
  • 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.

Benefits

  • Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.