The job, in the employer's words
About the Company
Armada is the hyperscaler for the edge, delivering modular AI infrastructure from first deployment to AI factory with speed, scale and sovereignty. Named one of Fast Company's Most Innovative Companies and to the CNBC Disruptor 50, Armada’s solutions are deployed in over 60 countries globally for organizations ranging from energy to defense.
With nearly $500 million in funding to date, Armada is backed by leading investors including Founders Fund, Lux, BlackRock and Microsoft (M12), alongside strategic partnerships with Microsoft, Dell, Palantir, NVIDIA, SpaceX, and Skydio. We are building the infrastructure layer for sovereign and edge AI - rugged, deployable compute for customers that cannot rely on centralized cloud.
Working at Armada means taking ownership, driving autonomy, and delivering impact. You’ll tackle challenges that haven’t been solved before and help build something transformative from the ground up. What you do here will not only define your career but help further Armada’s mission to bridge the digital divide for customers around the world.
Job Title: IT Hardware Procurement Manager (AI Infrastructure)
Location: India(remote)/Dubai
Role Overview
As the IT Hardware Procurement Manager, 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 architecture and aggressive commercial acumen to ensure supply continuity in a volatile global semiconductor market.
Core Responsibilities
- 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
- Sovereign AI & Compliance: Architect procurement workflows that satisfy stringent security, data residency, and national compliance requirements for Sovereign AI cloud deployments.
Qualifications
- 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 reference architectures/Dell/HP Hardware familiarity.
- 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.
Preferred Qualifications
- 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).
You're a Great Fit if You're
- 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
Equal Opportunity Statement
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.
Unsolicited Resumes and Candidates
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.
Requirements mentioned
- 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 reference architectures/Dell/HP Hardware familiarity.
- 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.
- 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).
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