Compute Systems Architect - Expeditionary AI/HPC Data Centers

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology.

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.

We are seeking a High Performance Compute Systems Architect to design and build these tactical AI/HPC data centers from the ground up.

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
• Drive systems from concept through production at scale, working across hardware, software, supply chain, and program teams
• Define standards and best practices for tactical AI compute infrastructure across AES product lines

Required Qualifications

• 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)
• U.S. Person status required (U.S. citizen, permanent resident, refugee, or asylee)
• Ability to obtain and maintain a U.S. security clearance (U.S. citizenship may be required)
• Must be able to travel up to 15% of the time

Preferred Qualifications

• Background in AI/ML infrastructure supporting large-scale inference, computer vision, or autonomous systems
• Experienced with high speed compute infrastructure networking and network topologies
• Familiarity with edge computing architectures, distributed inference systems, or autonomous vehicles
• Background in 3-phase power distribution or HV battery systems
• Experience with tactical military systems, ruggedized computing, or deployable infrastructure in austere or contested environments
• Knowledge of military environmental standards (MIL-STD-810, MIL-STD-461) and expeditionary deployability requirements
• Hands-on experience with containerized or modular data center designs (ISO containers, mobile facilities)
• Experience with expeditionary or forward operating base (FOB) infrastructure
• Knowledge of electromagnetic hardening and operation in GPS-denied or communications-contested environments
• Experience with SCIF design or accreditation for classified environments
• Background in aerospace, defense, autonomous vehicles, EVs, or safety-critical industries with rigorous qualification requirements
• Advanced degree (MS/PhD) in relevant engineering discipline
• Holds Active Secret Clearance or higher