Manufacturing Ramp Specialist, Sourcing Global Commodity Management
About The Position
Commodity Managers work with Engineering teams to make sure Google has the supplies and equipment to put into production the innovative products coming from our Engineering teams. As a Commodity Manager, you use your wide industry knowledge and strategic supplier relationships to optimize our total cost of ownership for our global -- and growing -- infrastructure. The scale at which Google operates means that savings on just one piece of hardware can have a huge impact on Google's bottom line. As a Manufacturing Ramp Specialist at Google, you will lead the sourcing and operational execution for critical infrastructure components. You will be responsible for ensuring that our supply chain partners can scale to meet the unprecedented demand for Google's data centers. This role is at the intersection of technical engineering and global supply chain, requiring a "systems thinker" who can manage the complexities of power delivery, networking, and silicon integration. In this role, you will not only discuss agreements but also in-depth search into the factory floor to optimize yields and cycle times. You will serve as a technical authority, working closely with New Product Introduction (NPI) teams to transition designs into high-volume manufacturing while maintaining the standards of quality and reliability. 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
