Computer Vision & AI Engineer - N3XT Interceptor C‑UAS (m/f/d)

About the Role

Quantum Systems is seeking a Computer Vision & AI Engineer to enhance the perception stack of their Counter-UAS interceptor platform. This role involves working on low-latency camera pipelines, object detection, tracking, sensor fusion, visual odometry, precision landing, camera calibration, embedded inference, and data pipelines for training and validation.

The ideal candidate will have a strong background in computer vision, AI, robotics, or perception systems, with a Master’s degree or PhD being a strong plus. Ambitious early-career candidates with proven technical depth and implementation skills are also encouraged to apply.

Your Mission

Develop the vision and AI pipeline for autonomous flight, transforming raw camera data into actionable perception outputs. This includes low-latency detection and tracking, motion-aware vision, sensor fusion, 3D direction-vector estimation, GPS-denied navigation, and precision landing support.

Day to Day Mission

• Optimize and maintain high-performance camera pipelines (CSI, raw image access, synchronization, latency reduction).
• Develop algorithms for small object detection and tracking in challenging conditions.
• Combine machine learning and classical computer vision approaches.
• Fuse inertial, motion, and visual data for improved detection and tracking.
• Build object tracking pipelines with low-latency tracking capabilities.
• Optimize perception pipelines for embedded execution on NVIDIA Jetson platforms (targeting 100–300 FPS).
• Utilize camera intrinsics and extrinsics for 3D navigation-relevant outputs.
• Develop visual odometry for GPS-denied navigation.
• Create visual support for precision landing (height, velocity, motion-state estimation).
• Build and maintain data pipelines from onboard recordings to cloud-based training and validation.
• Work with annotation tools (SuperAnnotate, CVAT, Label Studio).
• Benchmark and evaluate different model and algorithm families (e.g., CenterNet, SuperPoint, SuperGlue, optical flow).
• Build deployment pipelines using ONNX, TensorRT, or custom inference runners.
• Collaborate with autonomy, flight control, embedded software, test, and systems engineering teams.

What You Bring to the Team

• Master’s degree or PhD in a relevant technical field (Computer Vision, AI, Robotics, ML, etc.).
• Strong understanding of computer vision fundamentals, camera geometry, feature detection, object detection, tracking, calibration, and 3D transformations.
• Practical experience implementing pipelines in Python and C++.
• Experience with embedded inference (NVIDIA Jetson, CUDA, TensorRT, ONNX, GStreamer, V4L2).
• Ability to implement ideas from research papers.
• Understanding of latency, throughput, profiling, memory movement, and real-time constraints.
• Experience with dataset creation, annotation workflows, training, validation, and benchmarking.
• Strong mathematical intuition and debugging skills.
• Ability to own technical areas from research to flight-test-ready software.
• Experience with UAV/robotics perception, visual odometry, SLAM, sensor fusion, or tracking systems.
• Experience with IMU-camera fusion, ego-motion compensation, rolling-shutter effects, or high-frame-rate cameras.
• Experience with precision landing, visual navigation, or GPS-denied navigation.
• Experience building cloud-based ML training and validation pipelines.
• Publications, thesis work, GitHub projects, demos, or competition results are a plus.

Why Join Quantum-Systems?

Be at the forefront of next-generation Defence innovation. Work in a fast-paced, agile environment. Collaborate with industry pioneers. Opportunities for individual and professional growth.

About us:

Quantum Systems develops and produces small Unmanned Aerial Systems (sUAS) with electric vertical take-off and landing (eVTOL) capabilities. They integrate cutting-edge software like edge computing and real-time AI-powered data processing for defense, security, and public sector clients.