{"schemaVersion":"jobsearcher.job.v1","id":"2d7d1950c90b42b40f5e6373","url":"https://jobsearcher.com/jobs/2d7d1950c90b42b40f5e6373","canonicalUrl":"https://jobsearcher.com/jobs/2d7d1950c90b42b40f5e6373","title":"Computer Vision Engineer","description":"About the Role\r\nWe 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.\r\nThis 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.\r\nKey Responsibilities\r\nCamera Systems & Integration\r\nDesign and implement camera integration pipelines for diverse sensor modalities including RGB, stereo, fisheye, thermal, and event-based camera\r\nDevelop middleware and vision pipeline components that interface with our perception stack\r\nWork with hardware and program teams to evaluate and integrate new camera systems\r\nCalibration & Geometric Vision\r\nDevelop and maintain calibration procedures for intrinsic and extrinsic camera parameters\r\nImplement multi-camera calibration systems and camera-lidar extrinsic calibration workflows\r\nDesign online and offline calibration methods for field deployment scenarios\r\nApply geometric computer vision techniques including structure from motion and 3D reconstruction\r\nClassical Computer Vision\r\nImplement robust image processing pipelines (filtering, augmentation, rectification)\r\nDevelop feature detection, matching, and tracking algorithms\r\nDesign optical flow and visual odometry solutions\r\nOptimize vision algorithms for real-time performance on embedded platforms\r\nStandards & Best Practices\r\nEstablish and document computer vision best practices\r\nCreate reusable calibration tools and frameworks\r\nEnsure vision systems meet defense industry standards and requirements\r\nConduct lab testing and validation of camera systems\r\nRequired Qualifications\r\nEducation : Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or related field\r\nExperience : 4-6 years of industry experience in computer vision engineering OR Master's degree with 2-4 years of industry experience\r\nStrong proficiency in C++ or Python\r\nHands-on experience with OpenCV and classical computer vision algorithms\r\nDeep understanding of camera models, calibration theory, and geometric vision\r\nExperience with multi-camera systems and sensor fusion\r\nExperience developing middleware and vision pipelines ( ROS / ROS2 or similar)\r\nFamiliarity with diverse camera technologies ( RGB , stereo , fisheye , thermal , ToF , event-based )\r\nLab experience with camera systems and optical equipment\r\nPreferred Qualifications\r\nRust programming experience\r\nMaster's degree in Computer Vision, Robotics, or related field\r\nExperience in defense, aerospace, or autonomous systems\r\nBackground in robotics perception for drones or marine vehicles\r\nExperience with real-time embedded vision systems\r\nFamiliarity with defense industry standards and security clearance processes\r\nPublications or contributions to computer vision research or open-source projects\r\nJ-18808-Ljbffr","company":"Gravity Engineering Services","rawCompany":"gravity engineering services","city":"Seattle","state":"WA","isRemote":false,"isActive":false,"createdAt":"2026-07-16T01:56:09.360Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"17-2199.08","title":"Robotics Engineers","slug":"robotics-engineers"}],"industries":[{"code":"541330","title":"Engineering Services","slug":"engineering-services"},{"code":"334511","title":"Search, Detection, Navigation, Guidance, Aeronautical, and Nautical System and Instrument Manufacturing","slug":"search-detection-navigation-guidance-aeronautical-and-nautical-system-and-instrument-manufacturing"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Computer Vision Engineer","description":"About the Role\r\nWe 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.\r\nThis 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.\r\nKey Responsibilities\r\nCamera Systems & Integration\r\nDesign and implement camera integration pipelines for diverse sensor modalities including RGB, stereo, fisheye, thermal, and event-based camera\r\nDevelop middleware and vision pipeline components that interface with our perception stack\r\nWork with hardware and program teams to evaluate and integrate new camera systems\r\nCalibration & Geometric Vision\r\nDevelop and maintain calibration procedures for intrinsic and extrinsic camera parameters\r\nImplement multi-camera calibration systems and camera-lidar extrinsic calibration workflows\r\nDesign online and offline calibration methods for field deployment scenarios\r\nApply geometric computer vision techniques including structure from motion and 3D reconstruction\r\nClassical Computer Vision\r\nImplement robust image processing pipelines (filtering, augmentation, rectification)\r\nDevelop feature detection, matching, and tracking algorithms\r\nDesign optical flow and visual odometry solutions\r\nOptimize vision algorithms for real-time performance on embedded platforms\r\nStandards & Best Practices\r\nEstablish and document computer vision best practices\r\nCreate reusable calibration tools and frameworks\r\nEnsure vision systems meet defense industry standards and requirements\r\nConduct lab testing and validation of camera systems\r\nRequired Qualifications\r\nEducation : Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or related field\r\nExperience : 4-6 years of industry experience in computer vision engineering OR Master's degree with 2-4 years of industry experience\r\nStrong proficiency in C++ or Python\r\nHands-on experience with OpenCV and classical computer vision algorithms\r\nDeep understanding of camera models, calibration theory, and geometric vision\r\nExperience with multi-camera systems and sensor fusion\r\nExperience developing middleware and vision pipelines ( ROS / ROS2 or similar)\r\nFamiliarity with diverse camera technologies ( RGB , stereo , fisheye , thermal , ToF , event-based )\r\nLab experience with camera systems and optical equipment\r\nPreferred Qualifications\r\nRust programming experience\r\nMaster's degree in Computer Vision, Robotics, or related field\r\nExperience in defense, aerospace, or autonomous systems\r\nBackground in robotics perception for drones or marine vehicles\r\nExperience with real-time embedded vision systems\r\nFamiliarity with defense industry standards and security clearance processes\r\nPublications or contributions to computer vision research or open-source projects\r\nJ-18808-Ljbffr","datePosted":"2026-07-16T01:56:09.360Z","dateModified":"2026-07-16T01:56:09.360Z","hiringOrganization":{"@type":"Organization","name":"Gravity Engineering Services","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle","addressRegion":"WA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2d7d1950c90b42b40f5e6373"},"url":"https://jobsearcher.com/jobs/2d7d1950c90b42b40f5e6373"}}