Compute Systems Architect - Expeditionary AI/HPC Data Centers

Job summary

Responsibilities

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.

• 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

What they're looking for

• 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…