• Lead new product transfer and line qualifications, ensuring seamless multi-sourcing capabilities.

• Participate in early-stage NPI and pre-production builds, driving factory readiness and providing critical
  Design for Excellence (DFx) and yield feedback.

• Oversee production through End of Life (EOL), managing assembly yields, cost-reduction initiatives, and automation solutions for released products.

• Execute data-driven strategies to reduce cycle times and costs while optimizing capacity, quality, and manufacturing efficiency.

• Monitor assembly processes to identify issues, initiating root cause investigations and corrective actions with Contract Manufacturer (CM)/Original Design Manufacturer (ODM) partners.

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.
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.

• Bachelor's degree in engineering field or equivalent practical experience.

• 8 years of experience in manufacturing operations.