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Anduril Industries is seeking a founding Staff AI Infrastructure Engineer to architect, build, and scale the end-to-end machine learning platform powering autonomous defense systems. This is a high-impact technical leadership role within the Air Dominance & Strike team, which develops aerial and multi-domain robotic systems including Fury (unmanned fighter jet) and Barracuda (air-breathing cruise missile), alongside Lattice for Mission Autonomy—a software platform enabling collaborative autonomous operations.
As Staff Engineer, you will own the technical roadmap for the ML platform, designing and maintaining foundational training, orchestration, and experimentation infrastructure to support state-of-the-art model development. You will build robust MLOps tooling and systems architecture required to train, evaluate, host, and serve complex AI models—including LLMs, computer vision models, and reinforcement learning agents—across both cloud environments and air-gapped, offline tactical edge networks.
Key responsibilities include optimizing AI researcher velocity by identifying and eliminating bottlenecks in the ML research lifecycle, building highly automated tools for hyperparameter tuning, model profiling, and experimentation tracking. You will manage the lifecycle of terabytes of multi-modal sensor and simulation data, serving as a force multiplier for AI Research Scientists. Over time, you will help recruit, mentor, and expand the infrastructure engineering team.
The role requires deep expertise in ML infrastructure, distributed systems, data pipeline architecture, and the ability to operate in constrained, air-gapped environments. You will work closely with specialist teams in Perception, Motion Planning, Hardware, and Test Engineering to solve complex autonomy challenges at the intersection of software, robotics, and defense technology.
