Product Quality Engineer

• Develop and execute the overall product quality strategy and assurance plans for next-generation AI hardware systems, collaborating with stakeholders. Develop and manage comprehensive product quality requirements, scope, schedules, and deliverables.
• Own the overall product quality process, spanning internal and external development through successful deployment and production at scale, ensuring consistent quality across all stages.
• Develop predictive failure models using advanced statistical methods. Track key quality metrics and extract actionable insights using advanced analytics and statistical methods.
• Lead the resolution of product issues during manufacturing and field operations using structured problem solving techniques such as eight disciplines (8D).
• Communicate with cross-functional teams and management, distilling technical information into clear, concise presentations to facilitate informed decision-making and drive alignment on quality initiatives. Provide regular updates and reports on quality metrics and improvement initiatives.

Minimum qualifications:

• Bachelor’s degree in Mechanical Engineering, Industrial Engineering, Materials Engineering, or related engineering discipline, or equivalent practical experience.
• 5 years of experience working in computing hardware quality, product engineering, or electronic hardware systems issue resolution.
• Experience in data analysis and visualization using SQL, JMP, or Python.
• Experience working with reliability and quality test data or manufacturing execution systems.

Preferred qualifications:

• Master’s degree or PhD in Electrical, Mechanical, Industrial, Materials, or a relevant engineering discipline.
• Certified Reliability/Quality Engineer (CRE/CQE) certification or equivalent experience.
• 7 years of experience in Hardware Quality, Reliability, Product Engineering, Test Engineering or Manufacturing of cloud hardware systems.
• Experience leading cross-functional engineering teams using a practical and solution-oriented approach.
• Experience with advanced statistical or statistics based methodologies (e.g., design of experiments, statistical process controls, six sigma, etc.).
• Experience in technical leadership, project management, and executive communication.

The US base salary range for this full-time position is $138,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

• Bachelor’s degree in Mechanical Engineering, Industrial Engineering, Materials Engineering, or related engineering discipline, or equivalent practical experience.
• 5 years of experience working in computing hardware quality, product engineering, or electronic hardware systems issue resolution.
• Experience in data analysis and visualization using SQL, JMP, or Python.
• Experience working with reliability and quality test data or manufacturing execution systems.