Computer Vision Engineer

About the Role We are seeking a Computer Vision Engineer to join our Perception team at Anduril Industries, where we develop cutting‑edge perception systems for autonomous drones and unmanned sea vehicles in defense applications. While our team has strong capabilities in machine learning and real‑time processing, we need a classical computer vision expert to elevate our camera integration, calibration workflows, and establish industry‑standard best practices. This role will collaborate across multiple teams, supporting ML engineers, system architects, and integration specialists by ensuring our perception systems receive high‑quality, well‑calibrated sensor data from diverse camera modalities. Key Responsibilities Camera Systems & Integration Design and implement camera integration pipelines for diverse sensor modalities including RGB, stereo, fisheye, thermal, and event‑based camera Develop middleware and vision pipeline components that interface with our perception stack Work with hardware and program teams to evaluate and integrate new camera systems Calibration & Geometric Vision Develop and maintain calibration procedures for intrinsic and extrinsic camera parameters Implement multi‑camera calibration systems and camera‑lidar extrinsic calibration workflows Design online and offline calibration methods for field deployment scenarios Apply geometric computer vision techniques including structure from motion and 3D reconstruction Classical Computer Vision Implement robust image processing pipelines (filtering, augmentation, rectification) Develop feature detection, matching, and tracking algorithms Design optical flow and visual odometry solutions Optimize vision algorithms for real‑time performance on embedded platforms Standards & Best Practices Establish and document computer vision best practices Create reusable calibration tools and frameworks Ensure vision systems meet defense industry standards and requirements Conduct lab testing and validation of camera systems Required Qualifications Education : Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or related field Experience : 4-6 years of industry experience in computer vision engineering OR Master's degree with 2-4 years of industry experience Strong proficiency in C++ or Python Hands‑on experience with OpenCV and classical computer vision algorithms Deep understanding of camera models, calibration theory, and geometric vision Experience with multi‑camera systems and sensor fusion Experience developing middleware and vision pipelines ( ROS / ROS2 or similar) Familiarity with diverse camera technologies ( RGB , stereo , fisheye , thermal , ToF , event‑based ) Lab experience with camera systems and optical equipment Preferred Qualifications Rust programming experience Master's degree in Computer Vision, Robotics, or related field Experience in defense, aerospace, or autonomous systems Background in robotics perception for drones or marine vehicles Experience with real‑time embedded vision systems Familiarity with defense industry standards and security clearance processes Publications or contributions to computer vision research or open‑source projects #J-18808-Ljbffr