It Hardware Procurement Manager - Ai/hpc Infrastructure

Armada Armada · Enterprise · India · Remote · R&D - Edge Hardware

The IT Hardware Procurement Manager will be responsible for the global AI infrastructure supply chain, focusing on sourcing high-performance compute (HPC) and sovereign AI cloud platforms. This role requires technical fluency in NVIDIA architecture and commercial acumen to manage the semiconductor market, ensuring supply continuity for critical hardware like GPUs, NICs, and Switches. Responsibilities include strategic sourcing, vendor management, contract negotiation, risk mitigation, and aligning procurement with technical roadmaps for AI workloads.

What you'd actually do

  1. Identify, vet, and manage Tier 1/2 OEMs and regional distributors for high-density servers, network gear, and cabling. Build a resilient multi-vendor strategy to eliminate single points of failure.
  2. Drive end-to-end contract lifecycles, including Master Purchase Agreements (MPAs), Service Level Agreements (SLAs), and complex warranty/support negotiations.
  3. Monitor global semiconductor trends to mitigate long-lead-time risks. Support Solution Engineering by ensuring "just-in-time" inventory of mission-critical hardware (GPUs, NICs, Switches).
  4. Partner with Systems Engineering and Architecture teams to translate technical specs into scalable, multi-year procurement roadmaps.
  5. Oversee the procurement and delivery of integrated components, including NVIDIA Grace CPUs, NVLink, InfiniBand, and ConnectX-8

Skills

Required

  • 5+ years of experience in high-performance computing (HPC) or hyperscale datacenter procurement environments.
  • Deep understanding of NVIDIA reference architectures/Dell/HP Hardware familiarity.
  • Foundational understanding of the hardware-software stack, including operating systems, device drivers, and firmware versioning.
  • Ability to bridge the gap between technical engineering requirements and executive-level financial/commercial constraints.

Nice to have

  • Proven experience navigating regional distributor landscapes in APAC and EMEA.
  • Experience with rack-level integration for modular or Edge datacenter deployments.
  • Practical knowledge of how hardware specifications impact specific AI workloads (LLM training vs. low-latency inference).

What the JD emphasized

  • deep technical fluency
  • aggressive commercial acumen
  • NVIDIA reference
  • APAC and EMEA