Minimum qualifications:

• Bachelor's degree in Mechanical Engineering, Electrical Engineering, Industrial Engineering or equivalent practical experience.
• 5 years of experience in product engineering, manufacturing, or development management.

Preferred qualifications:

• Master's degree in Engineering or equivalent practical experience.
  
• 8 years of experience in product engineering, manufacturing, or development management.
• Experience developing and integrating electrical and mechanical hardware with power/cooling/networking infrastructure.
• Experience in working with contract manufacturing partners.

About the job

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

• Build, optimize and integrate platforms for Google data center hardware (server, storage, switch, rack or accelerator) at the global manufacturing partners.
• Partner with the NPI team to define design for manufacturing (DFM) requirements and provide input to Manufacturing Strategy.
• Analyze, troubleshoot and root cause of manufacturing yield issues and data center field escapes. Drive issues to closure with corrective and preventive measures.
• Collaborate with internal engineers and manufacturing partner engineers to drive improvement for product manufacturing efficiency and effectiveness including test coverage and reduce cost.
• Drive, support and manage product changes to improve product design or manufacturing performance.