Global Supply Chain Specialist, Compute
$103k - $125kCrusoe
Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack - from electrons to tokens - to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.
We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that - with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved - people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role : Crusoe Cloud is one of the fastest-scaling AI infrastructure platforms in the world, and the global supply chain behind our compute fleet (GPU and CPU servers, accelerators, and their underlying components) is the foundation of that growth. We are looking for a Global Supply Chain Manager, Compute to own end-to-end supply for Crusoe's compute category: managing OEM and ODM partnerships, securing NVIDIA and AMD accelerator allocation, navigating long-lead component constraints, and ensuring continuity of supply as we deploy across multiple data centers globally. This is a senior individual contributor role and a single-threaded leader for Compute supply, reporting to the Senior Strategic Sourcing Manager, Compute, and partnering closely with NPI, deployment, finance, and engineering leadership. This is a full-time position with flexibility to be based in San Francisco (CA) or Seattle (WA). What You'll Be Working On :- Global Compute Supply Strategy: Develop and execute global supply strategies for GPU servers, CPU servers, and their critical components (accelerators, CPUs, memory, NICs, optics) across all Crusoe data centers.
- Accelerator Allocation Management: Own NVIDIA and AMD accelerator allocation strategy, including engagement with allocation teams, demand forecasting, and prioritization across deployment programs.
- OEM and ODM Partnerships: Manage strategic relationships with HPE, Dell, Supermicro, and major ODMs (Quanta, Wiwynn, Foxconn, Inventec, Hon Hai), including capacity planning, ramp readiness, and quality.
- Capacity and Demand Alignment: Align supplier manufacturing capacity with Crusoe's GPU/CPU deployment forecast across multiple data centers, accounting for new product introductions and generational transitions (H100, H200, B200, GB200, and beyond).
- Long-Lead Component Management: Build buffer and allocation strategies for long-lead components (accelerators, HBM, advanced packaging, optics) to protect deployment schedules during periods of constrained supply.
- Supply Reliability and Lead Time Reduction: Drive lead time reduction initiatives, dual-source strategies where appropriate, and continuous improvement in supplier on-time delivery.
- Risk Management and Contingency: Build and maintain risk maps for the Compute supply chain (geopolitical, single-source, capacity, quality) with documented contingency plans.
- Inventory and Working Capital: Manage Compute inventory positions across Crusoe data centers, including safety stock, buffer strategy, and excess and obsolescence (E&O) reduction.
- Cross-Functional Leadership: Partner with NPI, Deployment, Finance, Legal, and Cloud Engineering to align supply plans with deployment commitments and capital plans.
- Executive Reporting: Provide regular supply health updates, risk reports, and recommendations to procurement and engineering leadership.
- Travel: 35% +
- Education: Bachelor's degree in Business Administration, Supply Chain/Logistics, International Trade, Engineering, or a related field.
- Experience: 5-7 years of progressive experience in supply chain, sourcing, or procurement, preferably for data center infrastructure, cloud, or hardware supply chains.
- Compute Hardware Fluency: Strong working knowledge of GPU and CPU server architectures and their BOMs (accelerators, CPUs, memory, NICs, optics, power) at a component level.
- OEM/ODM Track Record: Demonstrated experience managing supply relationships with major hyperscaler OEMs (HPE, Dell, Supermicro) and/or major ODMs (Quanta, Wiwynn, Foxconn, Inventec, Hon Hai).
- Capacity and Allocation: Proven experience managing manufacturing capacity alignment, allocation discussions with constrained suppliers, and Vendor Managed Inventory (VMI) or equivalent buffer programs.
- Cross-Functional Leadership: Track record of leading cross-functional supply chain initiatives with engineering, finance, and operations teams in a fast-paced environment.
- Analytical Prowess: Strong analytical, problem-solving, and organizational skills, including comfort building supply models, scenario plans, and executive-ready reporting.
- Communication and Stakeholder Management: Excellent written and verbal communication skills, with the ability to influence at the senior leadership level.
- Compliance: Must be able to pass a background check.
- Experience managing data center infrastructure categories in either greyspace or whitespace.
- Professional certification such as CPSM, CSCP, or CPIM.
- Experience with AI/data center infrastructure supply chains and the NVIDIA/AMD accelerator ecosystem.
- Prior experience at a hyperscaler (AWS, Google, Meta, Microsoft, Oracle) in a Compute or hardware supply chain role.
- Experience supporting NPI for GPU server generations (H100/H200/B200/GB200 or equivalent).
- Automation and scripting exposure (Python, SQL, Power Automate, or comparable) for supply planning and reporting.
- Active use of modern AI tools (Claude, Gemini, Copilot, NotebookLM) for supply chain workflows, forecasting, or analysis.
Vacancy posted 3 days ago
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