Distinguished Engineer / Technical Fellow

Armada Armada · Enterprise · Bellevue, Sunset Corporate, Headquarters +1 · R&D - Engineering

Armada is seeking a Distinguished Engineer/Technical Fellow to architect the company's long-term technical vision, focusing on modular AI infrastructure for edge deployments. This role involves leading R&D for 'Next Horizon' projects like Data Centers in Space, co-designing solutions with strategic partners, and solving complex architectural challenges in distributed systems, real-time data streaming, and computer vision. The position requires deep expertise in data center architecture, high-density compute, and massive-scale AI infrastructure, with a focus on systems programming in Go, C++, or Rust.

What you'd actually do

  1. Architecting the Universal Edge: Lead the evolution of the Armada Edge Platform (AEP), ensuring seamless orchestration of compute and AI workloads across globally distributed, high-latency, and disconnected environments.
  2. Next Horizon Projects: Drive the architectural roadmap for visionary initiatives, including Data Centers in Space. This involves adapting the Armada stack for orbital compute modules and solving for the unique challenges of Low Earth Orbit (LEO)—including radiation-tolerant software, thermal management, and power-constrained AI processing.
  3. Strategic Partner Engineering: Work directly with elite industry partners to co-design solutions that integrate Armada’s technology deeper into their global ecosystems. You will ensure our platform becomes the standard infrastructure for compute, whether terrestrial or orbital.
  4. Technical Strategy: Partner with Company Leadership to define the 3–5 year technical roadmap, identifying emerging technologies in high-density GPU orchestration and orbital data processing that align with our long-term business goals.
  5. Hard-Problem Solver: Act as the final point of escalation for complex architectural challenges involving real-time data streaming, computer vision, and network-aware workload distribution.

Skills

Required

  • Data Center operations
  • Compute architectures (CPU/GPU/NPU)
  • AI Infrastructure at scale
  • Distributed systems
  • Data storage in resource-constrained, remote, or "denied" environments
  • Systems Programming (Go, C++, or Rust)
  • Software interaction with physical compute hardware
  • Non-terrestrial networking layers
  • Partner collaboration for technical solutions

Nice to have

  • Networking stacks optimization for satellite and terrestrial mesh networks
  • Orbital mechanics
  • Radiation-tolerant software design
  • Space-based communication protocols
  • Building "Day 2" operations for fleets of thousands of remote, distributed devices in harsh environments

What the JD emphasized

  • primary architect of Armada’s long-term technical vision
  • deep, fundamental understanding of data center architecture, high-density compute, and massive-scale AI infrastructure
  • solve the most difficult technical hurdles
  • leading the R&D for "Next Horizon" projects
  • key technical diplomat
  • collaborating with our most strategic industry partners
  • deepen Armada’s product adoption
  • expand our reach into entirely new frontiers
  • seamless orchestration of compute and AI workloads across globally distributed, high-latency, and disconnected environments
  • adapting the Armada stack for orbital compute modules
  • solving for the unique challenges of Low Earth Orbit (LEO)—including radiation-tolerant software, thermal management, and power-constrained AI processing
  • integrate Armada’s technology deeper into their global ecosystems
  • platform becomes the standard infrastructure for compute, whether terrestrial or orbital
  • define the 3–5 year technical roadmap
  • identifying emerging technologies in high-density GPU orchestration and orbital data processing
  • complex architectural challenges involving real-time data streaming, computer vision, and network-aware workload distribution
  • Proof-of-Concepts for next-generation capabilities, such as in-orbit inference, adaptive learning at the edge, and secure Earth-to-space data orchestration
  • Core Infrastructure Mastery: Deep understanding of Data Center operations, Compute architectures (CPU/GPU/NPU), and AI Infrastructure at scale. You should understand the full stack from silicon to the orchestration layer.
  • 15+ years of software engineering experience, with a proven track record as a Distinguished Engineer, Fellow, or equivalent senior technical leader at a major infrastructure or AI company.
  • Distributed Systems Mastery: Expert-level knowledge of distributed systems and data storage in resource-constrained, remote, or "denied" environments.
  • Systems Programming: Mastery of Go, C++, or Rust, with a deep understanding of how software interacts with physical compute hardware and non-terrestrial networking layers.
  • Ecosystem Influence: Proven ability to work across company lines with partners to build "1+1=3" technical solutions that drive adoption and industry standards.

Other signals

  • AI infrastructure at scale
  • high-density GPU orchestration
  • in-orbit inference
  • adaptive learning at the edge
  • network-aware workload distribution