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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-timeMountain View, 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 AI and machine-learning workloads on NVIDIA, AMD, or similar platforms is required.
  • A strong understanding of power distribution for high-density computing, 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.
  • Ability to optimize competing constraints including performance, power, thermal management, weight, cost, and reliability is required.
  • U.S. Person status is required; eligible statuses include U.S. citizen, permanent resident, refugee, or asylee.
  • Ability to obtain and maintain a U.S. security clearance is required; U.S. citizenship may be required.
  • Ability to travel up to 15% of the time is required.

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 AI inference and training workloads at the tactical edge, using NVIDIA H100/A100, AMD MI300, or similar hardware.
  • Engineer advanced thermal solutions for high-density computing without traditional data center infrastructure, including liquid cooling, immersion cooling, and hybrid systems.
  • Design air-transportable, modular systems, including containerized, palletized, and vehicle-mounted systems, that are rapidly deployable and operationally credible.
  • Build infrastructure optimized for austere and contested environments, including extreme temperatures, limited grid power, SCIF accreditation, and electromagnetic hardening.
  • Work closely 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.

Desired Qualifications

  • Background in AI/ML infrastructure supporting large-scale inference, computer vision, or autonomous systems.
  • Experience with high-speed compute infrastructure networking and network topologies.
  • Familiarity with edge computing architectures, distributed inference systems, or autonomous vehicles.
  • Background in three-phase power distribution or high-voltage 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 and MIL-STD-461, and expeditionary deployability requirements.
  • Hands-on experience with containerized or modular data center designs, including ISO containers and mobile facilities.
  • Experience with expeditionary or forward operating base 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, electric vehicles, or safety-critical industries with rigorous qualification requirements.
  • An advanced degree (MS or PhD) in a relevant engineering discipline.
  • Active Secret clearance or higher.

About the Company

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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