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Armada is a hyperscaler for edge AI infrastructure, delivering modular solutions for distributed, high-latency, and disconnected environments. The company has raised nearly $500M from top-tier investors including Founders Fund, Lux, BlackRock, and Microsoft, with strategic partnerships spanning Microsoft, Dell, Palantir, NVIDIA, SpaceX, and Skydio. Armada is recognized as one of Fast Company's Most Innovative Companies and a CNBC Disruptor 50 company, with deployments across 60+ countries in sectors ranging from energy to defense.
As Distinguished Engineer / Technical Fellow, you will serve as the primary architect of Armada's long-term technical vision. This is a builder-leader role requiring deep expertise in data center architecture, high-density compute, and massive-scale AI infrastructure. You will solve the most difficult technical challenges across the core product suite while leading R&D for next-horizon projects, including Data Centers in Space. Key responsibilities include architecting the Armada Edge Platform (AEP) for seamless orchestration across globally distributed environments; driving the architectural roadmap for orbital compute initiatives, including adaptation for Low Earth Orbit challenges (radiation tolerance, thermal management, power-constrained processing); collaborating with strategic industry partners to co-design deep-tech solutions; defining the 3–5 year technical roadmap with company leadership; serving as the final escalation point for complex architectural problems involving real-time data streaming and network-aware workload distribution; leading proof-of-concepts for next-generation capabilities such as in-orbit inference and secure Earth-to-space data orchestration; and mentoring Staff and Principal engineers to elevate the entire engineering organization.
Required: 15+ years of software engineering experience with a proven track record as a Distinguished Engineer or Fellow. Core infrastructure mastery including data center operations, CPU/GPU/NPU compute architectures, and AI infrastructure at scale. You should understand the full stack from silicon to orchestration layers.
