← All roles

Compute Systems Architect - Expeditionary AI/HPC Data Centers

Anduril· Connected Warfare : Edge Compute & Communications Engineering : Ground Maneuver Engineering Design
Apply on company site
Costa Mesa, CA$146k - $222kfull-timePosted 2mo ago

About the role

High-performance compute systems architect role to design air-transportable, power-constrained AI/HPC data centers for tactical edge environments, integrating with Lattice OS and defense software. Full end-to-end architectural responsibility from compute hardware to power, thermal, and physical hardening in austere, contested environments; travel up to 15%.

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

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

Skills

Required:End-to-end architectural ownershipGPU-accelerated compute architectureThermal management (liquid/immersion cooling)Power distribution and energy management

Benefits

  • Benefits package included; detailed information available at Explore Our Benefits link in job description
Last updated Sep 16, 2026. Interested? Apply on the company site.

About Anduril

defense-aero-and-safetyliquid-ai-recruiting-targetsetter-30setter-30-2026-q1wing-list-2026wing-list-2026-giga-stage
Company profileWebsite

More open roles at Anduril