Google

Product Quality Engineer, AI/ML, Hardware, Google Cloud

Job Description

Posted on: 
2025-12-04

Responsibilities

  • Define and own the quality and reliability strategy for TPU/GPU hardware across its entire lifecycle.
  • Lead the resolution of systemic quality issues in manufacturing and the field, driving Root Cause and Corrective Actions (RCCA).
  • Collaborate with engineering teams to influence design specifications and test coverage.
  • Establish and monitor key quality KPIs and analyze data to drive improvements.
  • Act as the primary point for customer quality, managing escalations and integrating feedback.
  • Oversee quality and corrective actions with suppliers, including Return Material Authorizations (RMA) and Process Change Notifications (PCN) qualification.
  • Analyze manufacturing and field data to develop predictive models for design and process improvements.

Job Requirements

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Materials Science, Industrial Engineering, or a related technical field.
  • 10 years of experience in Hardware Quality, Reliability, or Product Engineering focused on electronic systems.
  • 8 years of experience leading cross-functional teams.
  • Experience with AI/ML system architectures and key components.
  • Preferred Master's or PhD degree in Electrical Engineering or related field.
  • Certification in Certified Reliability/Quality Engineer (CRE/CQE) is preferred.
  • Excellent hardware and software debugging skills.
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