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 Global Commodity Manager (GCM) for Graphics Processing Unit (GPU) and Central Processing Unit (CPU) Sourcing, you will be responsible for developing and executing sourcing strategies for Google’s critical compute infrastructure. You will manage the end-to-end supply chain and commercial relationships for GPUs, x86, and ARM-based System on a Chip (SoCs), ensuring Google has the technology and capacity needed to power its next generation of AI and cloud services. You will leverage your industry knowledge and proven relationships with key industry players to negotiate multi-year agreements. You will work closely with Engineering, Product, and Finance teams to deliver cost-effective, high-performance silicon solutions that align with our long-term hardware roadmap. 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 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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Job Type
Full-time
Career Level
Manager
Number of Employees
5,001-10,000 employees