Serve as the primary technical partner between customers and Armada’s Product and Engineering teams, translating real‑world requirements into actionable designs.
Provide hands‑on technical guidance on AI Factory solutions, including modular and liquid‑cooled data centers and NVIDIA‑based GPU systems.
Advise customers on workload suitability, rack‑level design, system architecture, and deployment tradeoffs.
Lead technical demos, proofs‑of‑concept, and working sessions tailored to customer environments and constraints.
Build trusted‑advisor relationships with engineering, infrastructure, IT, OT, and security stakeholders.
Enable Sales and field teams by distilling complex infrastructure topics into clear, outcome‑driven narratives.
Take end‑to‑end ownership of technical engagements, bringing curiosity, urgency, and a problem‑solving mindset.
Requirements
Bachelor’s degree in Engineering, Computer Science, or related field (or equivalent hands‑on experience); advanced degrees a plus.
5+ years of experience in data center engineering, infrastructure engineering, pre‑sales/sales engineering, or solution architecture.
Strong foundation in compute, networking, and storage, including GPU‑based AI systems (e.g., NVIDIA DGX, HGX, MGX).
Hands‑on experience with data center infrastructure, including MEP systems, cooling architectures, and rack‑level design.
Deep familiarity with modular and/or liquid‑cooled data center architectures, power density, and thermal management.
Ability to translate AI workload requirements into scalable, production‑ready infrastructure designs.
Working knowledge of cloud platforms, containerization, virtualization, and modern enterprise infrastructure.
Comfort operating in complex, live customer environments, with strong troubleshooting skills.
Ability to build credibility across IT and OT stakeholders, particularly in industrial or energy‑adjacent contexts.
Excellent communication skills, capable of engaging both deeply technical teams and executive audiences.