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Distinguished Engineer​/Technical Fellow Armada Technologies · San Francisco, ago

Job in Bellevue, King County, Washington, 98009, USA
Listing for: Tradermath
Full Time position
Listed on 2026-10-17
Job specializations:
  • IT/Tech
    Systems Engineer, AI Engineer (Applied/Software), Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 250000 - 400000 USD Yearly USD 250000.00 400000.00 YEAR
Job Description & How to Apply Below
About the Company

Armada is thehyperscalerfor the edge, delivering modular AI infrastructure from first deployment to AI factory with speed,scaleand sovereignty. Namedone of Fast Company's Most Innovative Companiesandtothe 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, Black Rock and Microsoft (M12), alongside strategic partnerships with Microsoft, Dell,Palantir, NVIDIA, SpaceX, and Skydio. We are building the infrastructure layer for sovereign and edgeAI - 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 hasn'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.

About the Role

As a Distinguished Engineer / Technical Fellow, you will be the primary architect of Armada's long-term technical vision. This is a  builder-leader  role for a world-class technologist who possesses a deep, fundamental understanding of data center architecture, high-density compute, and massive-scale AI infrastructure. You will solve the most difficult technical hurdles across our core product suite while leading the R&D for  Next Horizon  projects, such as Data Centers in Space.

Beyond internal development, you will act as a key technical diplomat, collaborating with our most strategic industry partners to design deep-tech solutions that deepen Armada's product adoption and expand our reach into entirely new frontiers.

Location:

Bellevue, WA / San Francisco, CA / Remote

What You'll Do (Key Responsibilities)
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Innovation & R&D:
    Lead Proof-of-Concepts for next-generation capabilities, such as in-orbit inference, adaptive learning at the edge, and secure Earth-to-space data orchestration.
  • Mentorship:
    Elevate the entire engineering organization by mentoring Staff and Principal engineers, fostering a culture of high-performance engineering and architectural rigor.
Required Qualifications
  • Core Infrastructure Mastery:
    Deep understanding of Data Center operations, Compute architectures (CPU/GPU/NPU), and AI Infrastructure  should understand the full stack from silicon to the…
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