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Anduril

Builds autonomous weapons for the US and allies

Compute Systems Architect - Expeditionary AI/HPC Data Centers

Hardware Systems IntegrationConfirmed live in the last 24 hours
Full-timeCosta Mesa, CA, USA

About the Job

Requirements

  • A bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related technical field is required.
  • At least 5 years of experience designing and deploying data center infrastructure, high-performance computing clusters, large-scale compute systems, or tensor/accelerator compute nodes is required.
  • At least 8 years of engineering experience designing and deploying electrical products is required.
  • Deep expertise in GPU-accelerated computing architecture for artificial intelligence and machine learning workloads, including NVIDIA, AMD, or similar platforms, is required.
  • A strong understanding of power distribution systems for high-density compute, including power distribution units, power shelves, uninterruptible power supply systems, generators, chillers, and energy management, is required.
  • Experience with thermal management for high-power-density systems, including liquid cooling and chiller systems, is required.
  • A proven track record of building and deploying production infrastructure from concept through operational scale is required.
  • The role requires systems thinking to optimize competing constraints such as performance, power, thermal management, weight, cost, and reliability.
  • U.S. Person status is required; eligible statuses include U.S. citizen, permanent resident, refugee, or asylee.
  • The candidate must be able to obtain and maintain a U.S. security clearance; U.S. citizenship may be required.
  • The candidate must be able to travel up to 15% of the time.

Responsibilities

  • Own the end-to-end architecture of tactical AI Factory data centers, from compute hardware through power architecture, networking, and thermal cooling systems.
  • Design GPU-accelerated compute clusters optimized for artificial intelligence inference and training workloads at the tactical edge, using NVIDIA H100/A100, AMD MI300, or similar hardware.
  • Engineer advanced thermal solutions for high-density compute without traditional data center infrastructure, including liquid cooling, immersion cooling, and hybrid systems.
  • Design air-transportable, modular systems, including containerized, palletized, and vehicle-mounted configurations, for rapid deployment and operational credibility.
  • Build infrastructure optimized for austere and contested environments, including extreme temperatures, limited grid power, SCIF accreditation, and electromagnetic hardening.
  • Work closely with Lattice and artificial intelligence and machine learning 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 artificial intelligence compute infrastructure across Anduril Expeditionary Systems product lines.

Desired Qualifications

  • A background in artificial intelligence and machine learning infrastructure supporting large-scale inference, computer vision, or autonomous systems is preferred.
  • Experience with high-speed compute infrastructure networking and network topologies is preferred.
  • Familiarity with edge computing architectures, distributed inference systems, or autonomous vehicles is preferred.
  • A background in three-phase power distribution or high-voltage battery systems is preferred.
  • Experience with tactical military systems, ruggedized computing, or deployable infrastructure in austere or contested environments is preferred.
  • Knowledge of military environmental standards MIL-STD-810 and MIL-STD-461, and expeditionary deployability requirements, is preferred.
  • Hands-on experience with containerized or modular data center designs, including ISO containers and mobile facilities, is preferred.
  • Experience with expeditionary or forward operating base infrastructure is preferred.
  • Knowledge of electromagnetic hardening and operation in GPS-denied or communications-contested environments is preferred.
  • Experience with SCIF design or accreditation for classified environments is preferred.
  • A background in aerospace, defense, autonomous vehicles, electric vehicles, or safety-critical industries with rigorous qualification requirements is preferred.
  • An advanced degree (MS or PhD) in a relevant engineering discipline is preferred.
  • An active Secret clearance or higher is preferred.

About the Company

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Anduril

Builds autonomous weapons for the US and allies

Anduril builds autonomous weapons, such as drones, cruise missiles, and robot submarines, for the US military and its allies, often developing them with its own money before any order arrives. In 2024 it beat Boeing, Lockheed Martin, and Northrop Grumman for an Air Force contract to develop Fury, a pilotless jet that flies alongside crewed fighters. Its Lattice software merges camera and radar feeds into one live map and lets a few operators direct many drones and weapons at once, including other companies' systems. Governments buy its systems under contract, and Anduril builds much of the hardware in its own factories. Oculus founder Palmer Luckey co-founded Anduril in 2017, and it is based in Costa Mesa, California.

Company size
10,001+
Company stage
Private
Total funding
$11.5B
Headquarters
Costa Mesa, CA
Founded
2017

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