Job Description

Minimum qualifications:

• Bachelor's degree in Mechanical Engineering, Industrial Engineering, Materials Engineering, a related engineering discipline, or equivalent practical experience.
• Certified Reliability/Quality Engineer (CRE/CQE) certification or equivalent experience.
• 5 years of experience in quality, manufacturing, product engineering of cloud hardware technology or electronic hardware systems.

Preferred qualifications:

• Master's degree or PhD in Electrical, Mechanical, Industrial, Materials, or other relevant engineering fields.
• Experience leading cross-functional engineering teams using a practical and solution-oriented approach.
• Experience with manufacturing and field issue debug, root cause analysis, and corrective actions.
• 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.

About the job

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.

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

You will collaborate with internal teams and manufacturing partners to build quality into every stage of product development, establish processes, and track and resolve field issues. Your position requires an in-depth understanding of modern data center hardware, including design, manufacturing, and testing. You should be a proactive problem-solver with a strong sense of ownership and the ability to lead cross-functional teams in a fast-paced environment. You will also require excellent communication and data analysis skills for driving product decisions and presenting to executive leaders.

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 team 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.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.You will collaborate with internal teams and manufacturing partners to build quality into every stage of product development, establish processes, and track and resolve field issues. Your position requires an in-depth understanding of modern data center hardware, including design, manufacturing, and testing. You should be a proactive problem-solver with a strong sense of ownership and the ability to lead cross-functional teams in a fast-paced environment. You will also require excellent communication and data analysis skills for driving product decisions and presenting to executive leaders.

Responsibilities

• Own the overall product quality process, spanning internal and external development through successful deployment and production at scale and ensuring consistent quality across all stages.
• 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 management, distilling technical information into clear, concise presentations to facilitate informed decision making and drive alignment on quality initiatives while providing regular updates and reports on quality metrics and improvement initiatives.
• 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.