Senior AI Infrastructure Engineer, Physical Infrastructure

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology.

We are looking for a Senior AI Infrastructure Engineer to lead the vision, execution, and long-term stability of how Anduril trains with GPUs at scale.

Responsibilities

• Design, build, and operate large-scale GPU computing infrastructure for machine learning and AI applications.
• Ensure the robustness, availability, and fault tolerance of high-performance GPU systems.
• Develop and implement automated deployment and configuration tools for infrastructure.
• Collaborate with cross-functional teams to understand emerging compute needs and translate them into platform capabilities.
• Monitor, troubleshoot, and optimize the performance of GPU clusters and storage systems.
• Provide technical support and escalation for engineers and researchers using the platform.

Requirements

• 10+ years of experience in hands-on infrastructure, HPC, or datacenter engineering roles supporting GPU compute at scale.
• Hands-on experience with H200/B200/B300 GPU systems, high-performance interconnects, and parallel storage systems.
• Strong background in automation, Kubernetes, and GPU scheduling.
• Ability to lift/move 50+ lbs and perform physical datacenter work.
• Eligible to obtain and maintain an active U.S. Top Secret clearance.

Preferred Qualifications

• Experience with NVIDIA NVL72 rack-scale systems.
• Knowledge of network fabric tuning and congestion control.
• Familiarity with GPU/network observability tooling and automated fault detection.

Benefits

Anduril offers a comprehensive benefits package, including competitive salary, equity grants, and top-tier benefits for full-time employees.