AI Factory Customer Engineer

🕒 April 6

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Armada

WebsiteLinkedInAll Job Openings

51 - 200 employees

📡 Telecommunications

🤖 Artificial Intelligence

🏢 Enterprise

💰 $47.3M Series A on 2023-12

Telecommunications • Artificial Intelligence • Enterprise

Armada is a company focused on enhancing connectivity and data management in remote environments through advanced technology solutions. With products such as Connect, Edge, and OpsAI, Armada enables seamless connectivity, robust data infrastructure, and real-world AI applications to address critical challenges in industries like oil and gas, public sector, manufacturing, mining, logistics, and telecommunications. The company leverages partnerships and technology like SpaceX/Starlink to bring digital solutions to over 40 countries. Armada's mission is to bridge the digital divide by offering innovative connectivity and compute solutions tailored for the most challenging environments.

📋 Description

• Play a pivotal role in bridging the gap between customers and Armada’s Product and Engineering teams. • Require deep technical credibility, hands‑on infrastructure experience, and strong interpersonal skills. • Act as the primary technical interface between customers and Armada Engineering, ensuring customer requirements, constraints, and feedback are accurately represented. • 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); • 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. • Willingness to travel as required.

🏖️ Benefits

• Equal opportunity employer • Remote work options