Compute Systems Architect - Expeditionary AI/HPC Data Centers
Anduril Industries · Costa Mesa, California, United States
Posted 28 days ago
or apply directly on Anduril Industries's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 28 days Anduril Industries's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 1% of Anduril Industries's roles list one
- Ghost-job risk at Anduril Industries
- high 1390 stale, 67 reposted of 2,263 open
- Hiring momentum
- 3233 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Anduril Industries's own greenhouse board since 2026-08-03. Full hiring picture for Anduril Industries.
About this role
As a Compute Systems Architect at Anduril Industries, you will design and build tactical AI and high-performance computing data centers optimized for military use. Your responsibilities will include architecting electrical infrastructure, developing GPU-accelerated compute clusters, and ensuring systems are deployable in austere environments. You will collaborate closely with AI/ML teams and defense customers to translate operational needs into technical solutions, leading projects from concept through to production.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Anduril Industries as an employer.
What you need
- 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
Nice to have
- 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
What you get
- Comprehensive, competitive benefits package available at little to no cost to employees
- Highly competitive equity grants included in the majority of full time offers
Worth weighing
- No specific mention of work-life balance or remote work options
- Salary range provided but actual offer may vary based on multiple factors
- Role involves travel up to 15% of the time which may impact work schedule
Summarised from Anduril Industries's posting. Read the full original.
Listed by Anduril Industries on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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