# Compute Systems Architect - Expeditionary AI/HPC Data Centers

**Company**: Anduril Industries
**Location**: Costa Mesa, California
**Experience**: senior
**Job type**: full-time
**Salary**: $146,000-$222,000 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/andurilindustries/jobs/5183431007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_7973a2e5-27d

## Description

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

## Skills

### Required
- GPU-accelerated computing
- AI/ML workloads
- power distribution systems
- thermal management
- high-performance computing
- data center infrastructure

### Nice to have
- AI/ML infrastructure
- edge computing architectures
- autonomous systems
- tactical military systems
- expeditionary deployability requirements

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/andurilindustries/jobs/5183431007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)