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Senior AI Infrastructure Engineer, Physical Infrastructure

Anduril IndustriesSeattle, Washington, United StatesCorporate Technology : Infrastructure Engineering : Corporate Infrastructure
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Salary
$166K — $220K USD
Job type
Full-time
Experience
Senior · 10+ yrs
Posted
8 Oct 2026
Status
Open · checked 7d ago

About this role

Anduril Industries is seeking a Senior AI Infrastructure Engineer to lead the vision, execution, and stability of GPU training infrastructure in Seattle, Washington. This full-time position suits an experienced infrastructure specialist with a strong background in large-scale hardware systems, high-performance computing, and automated resilience.

Role Overview

Anduril Industries is looking for a Senior AI Infrastructure Engineer to take absolute ownership of cluster robustness and automated resilience for high-performance GPU systems in Seattle, Washington. This role involves building self-healing mechanisms, tuning high-speed networking, and optimizing scheduling tools to support company-wide machine learning and research teams.

Key Responsibilities

Rack, stack, cable, and bring up GPU compute systems including physical topology, power, cooling, firmware, BIOS, and burn-in validation.
Build and tune the interconnect fabric connecting hundreds of GPUs into low-latency training and inference clusters.
Integrate high-performance parallel storage to sustain throughput for distributed training and large multi-modal datasets.
Automate cluster deployment and configuration end-to-end utilizing infrastructure as code for bring-up, firmware, and driver management.
Operate and extend the Kubernetes and Run:AI environment for GPU scheduling, quota management, and multi-tenant workload isolation.
Own fleet health by monitoring, alerting, and rapidly triaging hardware and network faults.
Onboard engineers and researchers onto the platform and serve as an escalation point for debugging and optimizing workloads.
Partner with product-facing teams to translate emerging compute needs into platform capabilities.

Requirements

Minimum of 10 years in a hands-on infrastructure, HPC, or datacenter engineering role supporting GPU compute at scale.
Hands-on experience with GPU systems including bring-up, cabling, firmware, and driver management.
Experience with high-performance interconnects such as NVLink, InfiniBand, RoCE, and Spectrum-X in large clusters.
Experience with high-performance parallel storage systems like VAST, DDN, Weka, or Lustre.
Proficiency in Kubernetes and a strong automation background for building repeatable deployment pipelines.
Ability to lift or move 50 plus pounds and perform physical datacenter work.
Eligibility to obtain and maintain an active U.S. Top Secret clearance.

Nice to Have

Experience with NVIDIA NVL72 rack-scale systems.
Experience supporting LLM token serving and inference infrastructure alongside training clusters.
Network fabric tuning experience for RoCE and InfiniBand at scale.
Familiarity with GPU and network observability tooling and automated fault detection.
Experience supporting infrastructure as a shared platform serving multiple internal customer teams.

Skills and Tools

Kubernetes
Run:AI
Ray
NVLink
InfiniBand
RoCE
Spectrum-X
VAST
DDN
Weka
Lustre
DCGM

Salary and Benefits

The salary range for this role is estimated between $166,000 and $220,000 USD based on base salary, with actual offers varying by experience, education, and skills. Highly competitive equity grants are included in the majority of full-time offers. Additionally, the company provides a comprehensive benefits package covering health, recovery, and other employee supports.

About the Company

Anduril Industries is a defense technology company focused on transforming U.S. and allied military capabilities through advanced technology. The organization designs software and hardware systems powered by Lattice OS to turn diverse data streams into real-time command and control centers.

How to Apply

Candidates should apply directly on the official company careers page.

Skills and tech stack

KubernetesRun:AIRayNVLinkInfiniBandRoCESpectrum-XVASTDDNWekaLustreDCGMLLMComputer Vision

Questions candidates ask

What is the salary range for the Senior AI Infrastructure Engineer?

The estimated base salary range is between $166,000 and $220,000 USD, with actual compensation varying based on experience, education, skills, and business considerations.

Where is this job located?

This position is located in Seattle, Washington, United States.

What security clearance is required for this role?

Candidates must be eligible to obtain and maintain an active U.S. Top Secret clearance.

How many years of experience are required?

The role requires 10 plus years of experience in a hands-on infrastructure, HPC, or datacenter engineering role supporting GPU compute at scale.

Are benefits included with this position?

Yes, full-time employees receive comprehensive, competitive benefits covering health and recovery, along with competitive equity grants.

Ready to apply?

The application is on the official Anduril Industries careers page.

Apply on company site