AI Infrastructure Supply Chain Lead

About the Role

As the AI Infrastructure Supply Chain Lead, you will serve as the strategic architect for our global AI infrastructure, managing the end-to-end sourcing of high-performance compute platforms. This role offers a unique opportunity to shape the supply chain for sovereign AI cloud deployments while working at the cutting edge of semiconductor and hardware technology.

Responsibilities

• Develop and execute a resilient multi-vendor sourcing strategy for high-density servers, network gear, and critical hardware components.
• Manage end-to-end contract lifecycles, including Master Purchase Agreements and complex service level negotiations.
• Partner with Systems Engineering to translate technical requirements into scalable, multi-year procurement roadmaps.
• Mitigate global supply chain risks by monitoring semiconductor trends and ensuring just-in-time inventory for mission-critical hardware like GPUs and switches.
• Architect procurement workflows that align with stringent security, data residency, and national compliance requirements.

Requirements

• Bachelor’s degree in Computer Science, Electrical Engineering, or a related STEM field.
• 5+ years of experience in high-performance computing (HPC) or hyperscale datacenter procurement.
• Deep technical fluency in NVIDIA Blackwell architectures, including NVLink and InfiniBand performance characteristics.
• Strong understanding of the hardware-software stack, including firmware, drivers, and operating systems.
• Proven ability to bridge the gap between complex engineering requirements and executive-level commercial constraints.

Nice-to-Haves

• Experience navigating regional distributor landscapes in APAC and EMEA markets.
• Practical knowledge of rack-level integration for modular or Edge datacenter deployments.
• Understanding of how specific hardware specifications impact AI workload optimization, such as LLM training versus low-latency inference.