About the job

Google has one of the largest and most powerful computing infrastructures in the world. Your team is responsible for providing the manufacturing capability to deliver this state-of-the-art physical infrastructure. As a Manufacturing Engineer, you evaluate the product designs and create the processes, tools and procedures behind Google's powerful search technology. When vendors build parts for our infrastructure, you're right there alongside ensuring manufacturing processes are repeatable and controlled. You collaborate with Commodity Managers and Design Engineers to determine Google's infrastructure needs and product specifications. Your work ensures the various pieces of Google's infrastructure fit together perfectly and keep our systems humming along smoothly for a seamless user experience.

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.

Responsibilities

• Define and own the end-to-end quality and reliability strategy for Google's hardware across its entire lifecycle, 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 mitigates early risks.

• Establish and monitor key quality KPIs. Analyze manufacturing and field data to develop predictive models and drive continuous 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 Merchandise Authorization (RMA) analysis and Process Change Notification (PCN) qualification.

Minimum qualifications

• Bachelor's degree in Mechanical Engineering, Industrial Engineering, Materials Engineering, a related engineering discipline, or equivalent practical experience.

• 8 years of experience in quality, manufacturing, product engineering of server infrastructure, storage, or networking hardware.

• Experience in statistical product quality control (e.g., SPC), reliability modeling, and the execution of failure analysis and DFX principles during the hardware development lifecycle.

• Experience leading New Product Introduction (NPI) cycles.

Preferred qualifications

• Experience leading cross-functional engineering teams using a practical and solution-oriented approach.

• Experience with manufacturing and field issues debug, root cause analysis, and corrective actions.

• Experience with scripting languages and SQL.

• Experience with advanced statistical or statistics-based methodologies (e.g., design of experiments, statistical process controls, Six Sigma, etc.).

• Ability to present technical data to executive audiences.