Senior GPU Infra Architect for Scalable AI Compute

AI Chopping Block; Costa Mesa, Northern (CA, KY); Hybrid; USD 166,000 - 220,000; Full time

Job summary

Anduril Industries is seeking a Senior AI Infrastructure Engineer to own the stability and scalability of large-scale GPU training. You will drive automation and optimize Kubernetes/Run:AI for research and product teams.

This role requires 10+ years in HPC/datacenter infra, hands-on GPU hardware experience, and eligibility for a U.S. Top Secret clearance. You’ll build self-healing systems and improve interconnects to support massive-scale compute.

Qualifications

• 10+ years in hands-on infrastructure, HPC, or datacenter engineering supporting GPU compute at scale.
• Experience with H200/B200/B300 GPUs: bring up, cabling, firmware/driver management.
• Experience with high-performance interconnects (NVLink, InfiniBand, RoCE, Spectrum-X) in clusters of GPUs.
• Experience with high-performance parallel storage (VAST, DDN, Weka, Lustre).
• Kubernetes required; Run:AI or similar GPU scheduling experience preferred.
• Strong automation background with repeatable deployment pipelines.
• Able to lift/move 50+ lbs and perform physical datacenter work; U.S. Top Secret clearance eligible.

Responsibilities

• Rack, stack, cable, and bring up GPU compute including topology, power, cooling, firmware, and burn-in validation.
• Build and tune interconnect fabric (NVLink, InfiniBand, RoCE, Spectrum-X) for hundreds of GPUs.
• Integrate high-performance parallel storage to sustain throughput for distributed training and datasets.
• Automate cluster deployment and configuration end to end, IaC for bring up and driver management.
• Operate and extend Kubernetes/Run:AI for GPU scheduling and multi-tenant isolation.
• Own fleet health: monitoring, alerting, and rapid triage of hardware and network faults.
• Onboard engineers/researchers and assist with workloads when infrastructure is the bottleneck.
• Partner with product teams to translate compute needs into platform capability.

Skills

GPU compute at scale

Kubernetes

Automation pipelines

Physical datacenter work

Tools

H200/B200/B300 GPUs

NVLink/InfiniBand/RoCE

VAST, DDN, Weka, Lustre

Kubernetes Run:AI

Job description

Anduril Industries is seeking a Senior AI Infrastructure Engineer to own the stability and scalability of large-scale GPU training. You will drive automation and optimize Kubernetes/Run:AI for research and product teams.

This role requires 10+ years in HPC/datacenter infra, hands-on GPU hardware experience, and eligibility for a U.S. Top Secret clearance. You’ll build self-healing systems and improve interconnects to support massive-scale compute.