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Anduril

Robot type
Drone · Defense
Location
Costa MesaCaliforniaUSA
Job type
Artificial Intelligence
Posted
Aug 19, 2026
Salary
$146,000–$222,000 a year
Full-time

Compute Systems Architect - Expeditionary AI/HPC Data Centers

Job description

Anduril Expeditionary Systems (AES) is building AI Factories and Command/Control centers—specialized, high-performance computing centers designed to process petabyte-scale data and convert it into decisions at machine speed from forward operating bases. These are not traditional data centers. They are air-transportable, power-constrained, hardened systems optimized for AI inference at the tactical edge and deeply integrated with Lattice. We are seeking a High Performance Compute Systems Architect to design and build these tactical AI/HPC data centers from the ground up. This is a new and highest priority role.

Anduril Industries is a defense technology company with a mission to transform…

Job responsibilities

  • Own the end-to-end architecture of AI Factory tactical data centers from compute hardware through power architecture, networking, and thermal cooling systems
  • Design GPU-accelerated compute clusters optimized for AI inference and training workloads at the tactical edge (NVIDIA H100/A100, AMD MI300, or similar)
  • Engineer advanced thermal solutions for high-density compute without traditional data center infrastructure (liquid cooling, immersion cooling, hybrid systems)
  • Design air-transportable, modular systems (containerized, palletized, vehicle-mounted) that are rapidly deployable and operationally credible
  • Build infrastructure optimized for austere and contested environments—extreme temperatures, limited grid power, SCIF-accreditable, electromagnetic hardening
  • Work in tight coupling with Lattice and AI/ML teams to ensure physical infrastructure meets mission-critical software requirements
  • Partner with defense customers to translate operational requirements and needs into technical architectures
  • Lead prototyping, field testing, and operational validation through military exercises and real-world deployments

Job requirements

  • Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related technical field
  • 5+ years of experience designing and deploying data center infrastructure, HPC clusters, large-scale compute systems, or tensor / accelerator compute nodes.
  • 8+ years of engineering experience designing and deploying electrical products
  • Deep expertise in GPU-accelerated computing architecture for AI/ML workloads (NVIDIA, AMD, or similar platforms)
  • Strong understanding of power distribution systems for high-density compute including PDUs, power shelves, UPS systems, generators, chillers, power distribution, and energy management
  • Experience with thermal management for high-power-density systems—liquid cooling and chiller systems.
  • Proven track record building and deploying production infrastructure from concept through operational scale
  • Systems thinking ability to optimize across competing constraints (performance, power, thermal, weight, cost, reliability)
Apply on Anduril websiteSave

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