Perception Engineer

Anduril Industries
Costa Mesa, California, United StatesPosted 28 February 2026

Job Description

<div class="content-intro"><p>Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.</p></div><h3>ABOUT THE TEAM</h3> <p>The Maneuver Dominance team at Anduril develops operationally relevant, multi-asset autonomy. We are focused on making large groups of autonomous systems work effectively together, with a particular emphasis on larger, more capable unmanned aerial vehicles. Our team specializes in integrating advanced perception and autonomy algorithms into complex aerial platforms, pushing the boundaries of what's possible in autonomous flight and mission execution. We develop cutting-edge Computer Vision and Autonomy algorithms to solve some of the hardest problems facing our customers, particularly in challenging and dynamic environments where robust perception is critical.</p> <h3><strong>ABOUT THE JOB</strong></h3> <p>We are seeking an experienced Computer Vision Engineer with a strong background in robotics to join our rapidly growing team in Costa Mesa, CA. In this role, you will be at the forefront of developing advanced perception systems for complex autonomous aerial platforms. Your expertise in computer vision algorithms, combined with your understanding of robotics principles, will be crucial in solving a wide variety of challenges involving visual perception, SLAM, motion planning, controls, and state estimation.</p> <p>This role requires not only technical expertise in computer vision and robotics but also the ability to make pragmatic engineering tradeoffs, considering the unique constraints of aerial platforms. Your work will directly contribute to the seamless integration of Anduril's products, achieving critical outcomes in autonomous operations. This position demands strong systems-level knowledge and experience, as you'll be working on the intersection of computer vision, robotics, and autonomous systems. If you are passionate about pushing the boundaries of computer vision in robotics, possess a "Whatever It Takes" mindset, and can execute in an expedient, scalable, and pragmatic way while keeping the mission top-of-mind and making sound engineering decisions, then this role is for you.</p> <h4><strong>WHAT YOU'LL DO<br></strong></h4> <ul> <li>Work at the intersection of 3D perception and computer vision, developing robust algorithms that power real-time decision-making for autonomous aerial systems.</li> <li>Develop and implement advanced structure from motion and SLAM algorithms to create accurate 3D models from multiple camera inputs in real-time.</li> <li>Integrate perception outputs with path planning algorithms to enable autonomous navigation in complex, unstructured environments</li> <li>Design experiments, data collection efforts, and curate training/evaluation sets to develop insights for both internal purposes and customers.</li> <li>Collaborate closely with robotics, software, and hardware teams to integrate perception algorithms into autonomous aerial systems.</li> <li>Work with vendors and government stakeholders to advance the state-of-the-art in perception and world modeling for autonomous aerial systems.</li> </ul> <h4><strong>REQUIRED QUALIFICATIONS<br></strong></h4> <ul> <li>BS in Robotics, Computer Science, Mechatronics, Electrical Engineering, Mechanical Engineering, or related field.</li> <li>Strong knowledge of 3D computer vis ... (truncated, view full listing at source)