AI Infrastructure Supply Chain Lead
Quick Summary
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.
Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical STEM field.
As the AI Infrastructure Supply Chain Lead, you will be the strategic architect of our global AI infrastructure supply chain. You will lead the end-to-end sourcing for high-performance compute (HPC) and sovereign AI cloud platforms. This role requires a rare blend of deep technical fluency in NVIDIA architectures and aggressive commercial acumen to ensure supply continuity in a volatile global semiconductor market.
Responsibilities
~1 min read- →Strategic Sourcing & Vendor Ecosystem: 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.
- →Commercial Leadership: Drive end-to-end contract lifecycles, including Master Purchase Agreements (MPAs), Service Level Agreements (SLAs), and complex warranty/support negotiations.
- →Technical Risk & Inventory Management: 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).
- →Cross-Functional Roadmap Alignment: Partner with Systems Engineering and Architecture teams to translate technical specs into scalable, multi-year procurement roadmaps.
- →System Integration Support: Oversee the procurement and delivery of integrated components, including NVIDIA Grace CPUs, NVLink, InfiniBand, and ConnectX-8 technologies.
- →Sovereign AI & Compliance: Architect procurement workflows that satisfy stringent security, data residency, and national compliance requirements for Sovereign AI cloud deployments.
Requirements
~1 min read- Education: Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical STEM field.
- HPC Expertise: 5+ years of experience in high-performance computing (HPC) or hyperscale datacenter procurement environments.
- NVIDIA Tech Fluency: Deep understanding of NVIDIA Blackwell (GB200/GB300) architectures, including the performance characteristics of NVLink and NVLink Switch systems for AI training and inference.
- Systems Knowledge: Foundational understanding of the hardware-software stack, including operating systems, device drivers, and firmware versioning.
- Strategic Communication: Ability to bridge the gap between technical engineering requirements and executive-level financial/commercial constraints.
Nice to Have
~1 min read- Global Logistics: Proven experience navigating regional distributor landscapes in APAC and EMEA.
- Modular Infrastructure: Experience with rack-level integration for modular or Edge datacenter deployments.
- AI Workload Optimization: Practical knowledge of how hardware specifications impact specific AI workloads (LLM training vs. low-latency inference).
What We Offer
~1 min readFor U.S. Based candidates: To ensure fairness and transparency, the starting base salary range for this role for candidates in the U.S. are listed below, varying based on location experience, skills, and qualifications.
In addition to base salary, this role will also be offered equity and subsidized benefits (details available upon request).
- A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge
- A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude
- Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company
- A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda
- Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you
At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.
Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.
Location & Eligibility
Listing Details
- Posted
- May 20, 2026
- First seen
- May 20, 2026
- Last seen
- May 20, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 79%
- Scored at
- May 20, 2026
Signal breakdown

Armada is the world's first full-stack edge computing platform, revolutionizing connectivity, compute, and AI solutions wherever they're needed most.
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