{"schemaVersion":"jobsearcher.job.v1","id":"290fee3943ca6a19f8fcb6df","url":"https://jobsearcher.com/jobs/290fee3943ca6a19f8fcb6df","canonicalUrl":"https://jobsearcher.com/jobs/290fee3943ca6a19f8fcb6df","title":"AI Software Engineer","description":"Quantum Systems Inc. is a global leader in aerial intelligence and autonomous, AI-powered aerial robotics. We design, develop, manufacture and deliver eVTOL Unmanned Aircraft Systems UAS and an ecosystem of related products and services. Our business directly addresses the Defense and Security markets in North America, Asia Pacific and Latin America. We currently have an opening for an AI Software Engineer III. This position will report to the Software Engineering Manager.All the relevant skills, qualifications and experience that a successful applicant will need are listed in the following description.We are seeking an AI Software Engineer III with deep expertise in computer vision, object detection, and real-time perception for autonomous drone systems. In this role, you will design, train, and deploy advanced AI models that enable our UAS platforms to detect, classify, track, and understand objects and environments in real time. You will work across the full perception stack from dataset creation and model development to embedded deployment and flight-test validation helping shape the intelligence that powers next-generation autonomous aircraft.Key ResponsibilitiesDevelop and optimize AI/ML models for object detection, recognition, tracking, and scene understanding.\r\nBuild real-time perception pipelines for onboard deployment on edge compute platforms (NVIDIA Jetson, Qualcomm RB5, custom SoCs).\r\nTrain and evaluate deep-learning models using frameworks such as PyTorch or TensorFlow.\r\nDesign and maintain datasets, labeling workflows, and automated training pipelines.\r\nImplement model compression, quantization, and hardware-accelerated inference (TensorRT, ONNX Runtime, CUDA).\r\nIntegrate perception outputs with navigation, autonomy, and mission-planning systems.\r\nCollaborate with flight-control and embedded teams to ensure perception algorithms meet real-time constraints.\r\nConduct field testing, collect flight data, and iterate on model performance based on real-world conditions.\r\nDevelop tools for visualization, telemetry analysis, and performance benchmarking.\r\nParticipate in system-level architecture discussions for autonomy, safety, and mission capabilities.Required QualificationsBachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, AI/ML, or related field.\r\n3+ years of experience developing computer-vision or deep-learning systems.\r\nStrong proficiency with PyTorch or TensorFlow, and experience training CNNs, transformers, or detection networks.\r\nHands-on experience with object-detection architectures (YOLO, Faster R-CNN, SSD, DETR, etc.).\r\nExperience deploying models to embedded or edge devices with real-time performance requirements.\r\nStrong understanding of image processing, camera models, and multi-sensor fusion concepts.\r\nProficiency in Python and C++ for production-quality software development.\r\nAbility to obtain and maintain a U.S. security clearance may be required depending on program needs.\r\nMust be a U.S. citizen for export-controlled technology.\r\nAbility to obtain and maintain a U.S. security clearance may be required depending on program needs.\r\nMust be a U.S. citizen for export-controlled technology.Preferred QualificationsExperience with UAS, robotics, or autonomous systems.\r\nFamiliarity with SLAM, optical flow, depth estimation, or 3D perception.\r\nExperience with GPU programming (CUDA), hardware acceleration, or custom inference engines.\r\nBackground in synthetic data generation, simulation environments, or domain adaptation.\r\nExperience with ROS/ROS2, PX4, or other robotics frameworks.\r\nKnowledge of tracking algorithms (SORT, DeepSORT, ByteTrack) or multi-object tracking systems. xywuqvp\r\nExperience with real-time video pipelines, GStreamer, or camera-sensor integration.","company":"Quantum Systems","rawCompany":"quantum systems","city":"Moorpark","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-05-09T01:42:51.623Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"17-2199.08","title":"Robotics Engineers","slug":"robotics-engineers"}],"industries":[{"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":"336411","title":"Aircraft Manufacturing","slug":"aircraft-manufacturing"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI Software Engineer","description":"Quantum Systems Inc. is a global leader in aerial intelligence and autonomous, AI-powered aerial robotics. We design, develop, manufacture and deliver eVTOL Unmanned Aircraft Systems UAS and an ecosystem of related products and services. Our business directly addresses the Defense and Security markets in North America, Asia Pacific and Latin America. We currently have an opening for an AI Software Engineer III. This position will report to the Software Engineering Manager.All the relevant skills, qualifications and experience that a successful applicant will need are listed in the following description.We are seeking an AI Software Engineer III with deep expertise in computer vision, object detection, and real-time perception for autonomous drone systems. In this role, you will design, train, and deploy advanced AI models that enable our UAS platforms to detect, classify, track, and understand objects and environments in real time. You will work across the full perception stack from dataset creation and model development to embedded deployment and flight-test validation helping shape the intelligence that powers next-generation autonomous aircraft.Key ResponsibilitiesDevelop and optimize AI/ML models for object detection, recognition, tracking, and scene understanding.\r\nBuild real-time perception pipelines for onboard deployment on edge compute platforms (NVIDIA Jetson, Qualcomm RB5, custom SoCs).\r\nTrain and evaluate deep-learning models using frameworks such as PyTorch or TensorFlow.\r\nDesign and maintain datasets, labeling workflows, and automated training pipelines.\r\nImplement model compression, quantization, and hardware-accelerated inference (TensorRT, ONNX Runtime, CUDA).\r\nIntegrate perception outputs with navigation, autonomy, and mission-planning systems.\r\nCollaborate with flight-control and embedded teams to ensure perception algorithms meet real-time constraints.\r\nConduct field testing, collect flight data, and iterate on model performance based on real-world conditions.\r\nDevelop tools for visualization, telemetry analysis, and performance benchmarking.\r\nParticipate in system-level architecture discussions for autonomy, safety, and mission capabilities.Required QualificationsBachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, AI/ML, or related field.\r\n3+ years of experience developing computer-vision or deep-learning systems.\r\nStrong proficiency with PyTorch or TensorFlow, and experience training CNNs, transformers, or detection networks.\r\nHands-on experience with object-detection architectures (YOLO, Faster R-CNN, SSD, DETR, etc.).\r\nExperience deploying models to embedded or edge devices with real-time performance requirements.\r\nStrong understanding of image processing, camera models, and multi-sensor fusion concepts.\r\nProficiency in Python and C++ for production-quality software development.\r\nAbility to obtain and maintain a U.S. security clearance may be required depending on program needs.\r\nMust be a U.S. citizen for export-controlled technology.\r\nAbility to obtain and maintain a U.S. security clearance may be required depending on program needs.\r\nMust be a U.S. citizen for export-controlled technology.Preferred QualificationsExperience with UAS, robotics, or autonomous systems.\r\nFamiliarity with SLAM, optical flow, depth estimation, or 3D perception.\r\nExperience with GPU programming (CUDA), hardware acceleration, or custom inference engines.\r\nBackground in synthetic data generation, simulation environments, or domain adaptation.\r\nExperience with ROS/ROS2, PX4, or other robotics frameworks.\r\nKnowledge of tracking algorithms (SORT, DeepSORT, ByteTrack) or multi-object tracking systems. xywuqvp\r\nExperience with real-time video pipelines, GStreamer, or camera-sensor integration.","datePosted":"2026-05-09T01:42:51.623Z","dateModified":"2026-05-09T01:42:51.623Z","hiringOrganization":{"@type":"Organization","name":"Quantum Systems","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Moorpark","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"290fee3943ca6a19f8fcb6df"},"url":"https://jobsearcher.com/jobs/290fee3943ca6a19f8fcb6df"}}