PitchMeAI Jobs
Anduril Industries

Senior AI Infrastructure Engineer, Physical Infrastructure

Anduril Industries · Costa Mesa, California, United States

Posted 13 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
13 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 Senior AI Infrastructure Engineer at Anduril Industries, you will lead the development and maintenance of high-performance GPU systems for machine learning training and inference. Your responsibilities include ensuring the robustness and availability of GPU clusters, automating deployment processes, and collaborating with engineers and researchers to optimize workloads. This hands-on role requires expertise in infrastructure management, networking, and storage solutions to support cutting-edge AI applications.

Our read on this posting2.8out of 5
benefits
1/5
freshness
4/5
career value
4/5
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

  • 10+ years in a hands on infrastructure, HPC, or datacenter engineering role supporting GPU compute at scale
  • Hands on experience with H200/B200/B300 (or comparable) GPU systems: bring up, cabling, firmware/driver management
  • Experience with high performance interconnects (NVLink, InfiniBand, RoCE, Spectrum-X) in clusters of hundreds of GPUs
  • Experience with high performance parallel storage (VAST, DDN, Weka, Lustre, or similar)
  • Kubernetes required; Run:ai or similar GPU scheduling/orchestration experience strongly preferred
  • Strong automation background

Nice to have

  • Experience with NVIDIA NVL72 rack scale systems
  • Experience supporting LLM token serving/inference infrastructure alongside training clusters
  • Network fabric tuning experience (congestion control, adaptive routing, QoS) for RoCE/InfiniBand at scale
  • Familiarity with GPU/network observability tooling (DCGM, fabric telemetry) and automated fault detection
  • Experience supporting infrastructure as a shared platform serving multiple internal customer teams with differing requirements

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 salary listed, but range provided is $166,000 - $220,000 USD
  • Role involves significant physical work in a datacenter environment
  • Focus on automation and infrastructure management may limit exposure to cutting-edge AI model development

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.

More roles at Anduril Industries

All 2,263 open roles at Anduril Industries →

Apply to a Senior AI Infrastructure Engineer, Physical Infrastructure position at Anduril Industries - Jobs near me at Costa Mesa, California, United States