Product Quality Engineer, Global Hardware Quality and Reliability

About the Job

In this role, you'll ensure the flawless operation of hardware systems such as AI computers, networking gear, and data storage from the initial concept through end-of-life.

You'll collaborate with internal teams and manufacturing partners to build quality into every stage of product development, establish robust processes, and track and resolve field issues. This position requires a deep understanding of modern data center hardware, including design, manufacturing, and testing.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Responsibilities

• Own the overall product quality process across internal and external development, ensuring consistent quality through deployment and production at scale.
• Develop predictive failure models, 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 leadership, distilling complex technical data into clear presentations to facilitate informed decision-making and drive alignment on quality initiatives. Provide regular updates and reports on quality metrics, risk management, and continuous improvement initiatives.
• Develop and execute overall product quality strategy and assurance plans for next-generation AI hardware systems in collaboration with cross-functional stakeholders. Manage comprehensive product quality requirements, scope, schedules, and deliverables.

Qualifications

Minimum qualifications:

• Bachelor's degree in Mechanical Engineering, Industrial Engineering, Materials Engineering, a related engineering discipline, or equivalent practical experience.
• 5 years of experience in quality, reliability, or production operations, with direct experience in new product development and qualification.

Preferred qualifications:

• Master's degree or PhD in Electrical, Mechanical, Industrial, Materials, or other relevant engineering fields.
• Experience with Contract Manufacturing (CM) quality management.
• Experience with advanced analytics tools (e.g., JMP, Minitab) and using programming languages (e.g., SQL, Python) to identify and resolve root causes of issues.
• Experience leading cross-functional teams in continuous quality investigation and improvement using practical methodologies (e.g., Six Sigma, Lean, DOE, SPC), with a proven track record of technical leadership and executive communication skills.
• Knowledge of manufacturing processes and test/debug methods.

Additional Information

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