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

2 weeks ago


Atlanta, United States Google Full time

Product Quality Engineer, AI/ML, Hardware, Google Cloud Location: Atlanta, GA, USA; Austin, TX, USA Job at Google. Minimum Qualifications Bachelor's degree in Electrical Engineering, Computer Engineering, Materials Science, Industrial Engineering, a related technical field, or equivalent practical experience. 10 years of experience in Hardware Quality, Reliability, Product Engineering, or a similar role focused on electronic systems (e.g., servers, accelerators, networking equipment). 8 years of experience leading cross‑functional teams to solve technical problems and drive quality improvements. Experience with AI/ML system architectures, including TPU/GPU based platforms, key components (e.g., high‑speed interconnects, power delivery), and characteristic failure modes. Preferred Qualifications Master's or PhD degree in Electrical Engineering or a related field. Certification in Certified Reliability/Quality Engineer (CRE/CQE). 12 years of experience in Quality/Reliability, with substantial direct experience in GPU/TPU or other AI/ML accelerator hardware. Experience in a technical leadership role with defining quality strategy, and collaborating with executive stakeholders. Experience in a customer‑facing quality role with managing executive communications and escalations for technical issues, with the ability to travel as required. Excellent hardware and software debugging skills, with experience in analyzing system logs, manufacturing test data, and diagnostic outputs to pinpoint root causes. Responsibilities Define and own the quality and reliability strategy for TPU/GPU hardware across its entire life‑cycle, from design through field support. Lead the resolution of systemic quality issues in manufacturing and the field, driving Root Cause and Corrective Actions (RCCA) using structured methodologies. Collaborate with engineering teams to influence design specifications, qualification plans, and test coverage to ensure product robustness and mitigate early risks. Establish and monitor key quality KPIs (e.g., Average Severity Rate (ASR), Average Failure Rate (AFR), etc.). Analyze manufacturing and field data to develop predictive models and drive improvement in design and processes. 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. Compensation: The US base salary range for this full‑time position is $165,000–$245,000 + bonus + equity + benefits. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Seniority level Not Applicable Employment type Full‑time Job function Other, Information Technology, and Engineering Industries Information Services and Technology, Information and Internet #J-18808-Ljbffr



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