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

• Bring up, optimize, and maintain high-performance camera pipelines, including CSI camera interfaces, raw image access, buffering, synchronization, and latency reduction.
• Develop detection algorithms for small and difficult-to-see objects in moving and rotating camera images.
• Combine machine learning and classical computer vision approaches where appropriate.
• Fuse inertial data, motion information, and visual data to improve detection and tracking in moving image sequences.
• Build object tracking pipelines that can switch from initial detection to low-latency tracking once a target has been acquired.
• Optimize perception pipelines for embedded execution on NVIDIA Jetson platforms.
• Work toward high frame-rate processing targets in the range of 100–300 FPS, where technically feasible.
• Use camera intrinsics and extrinsics to transform image-space detections into 3D direction vectors or other navigation-relevant outputs.
• Work on GPS-denied navigation concepts using visual odometry, including approaches with forward-facing camera views rather than only downward-looking cameras.
• Develop visual support for precision landing, including height estimation, velocity estimation, and motion-state estimation from limited camera perspectives.
• Build and maintain the data pipeline from onboard recordings to cloud storage, preprocessing, annotation, dataset generation, training, validation, and benchmarking.
• Work with annotation tools such as SuperAnnotate, CVAT, Label Studio, or comparable systems.
• Benchmark and evaluate different model and algorithm families, including approaches such as CenterNet, SuperPoint, SuperGlue, optical flow, feature tracking, object detection, and lightweight embedded models.
• Build deployment pipelines using ONNX, TensorRT, custom inference runners, or comparable embedded inference tooling.
• Collaborate closely with autonomy, flight control, embedded software, test, and systems engineering teams.

What you bring to the team:

• Master’s degree or PhD in computer vision, AI, robotics, machine learning, electrical engineering, computer science, aerospace engineering, or a comparable technical field.
• Strong understanding of computer vision fundamentals, camera geometry, feature detection, object detection, tracking, calibration, and image-space to 3D transformations.
• Practical experience implementing computer vision or machine learning pipelines in Python and C++ .
• Experience with embedded inference, ideally on NVIDIA Jetson , CUDA, TensorRT, ONNX, GStreamer, V4L2, or similar technologies.
• Ability to read, understand, and implement ideas from current research papers.
• Understanding of latency, throughput, profiling, memory movement, and real-time constraints.
• Experience with dataset creation, annotation workflows, training/validation splits, metrics, and benchmarking.
• Strong mathematical intuition and willingness to debug both algorithms and real-world sensor data.
• Ability to take ownership of a technical area and drive it from research prototype to flight-test-ready software.
• Experience with UAV perception, 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 in computer vision, robotics, AI, or autonomous systems.

Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you dont meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Why Quantum-Systems:

• Be at the forefront of next-generation Defence innovation .
• Work in a fast-paced, agile environment where your ideas make an impact.
• Collaborate with a team of industry pioneers who are ambitious, bold, and visionary.
• Opportunities for individual and professional growth in a globally recognized organization.

Our benefits:

• Company pension scheme: We support you so that you can already make provisions for later.
• Flexible working hours: With trust-based working hours, you are not only responsible for your working hours, but also for your work-life balance.
• Mobile Work: If things get a little busy in the office, you have the option to work remotely one flexible day per week to create the right balance.
• Stay active: With EGYM Wellpass, you get access to thousands of fitness and sports facilities — and of course, we subsidize the membership.
• Bike-Leasing: We support you in staying environmentally mobile and healthy.
• Corporate Benefits: Your opportunity for attractive offers and discounts from well-known suppliers and brands, e.g. Adidas, Apple, Expedia.
• Employee events: We not only want to grow together, but also celebrate our successes together.
• Lunch-Card: Be powerful with delicious energy, daily lunch budget is sponsored.
• Company Shuttle: Enjoy our convenient shuttle service that picks you up from Laim in Munich and brings you to our location, with return trips at the end of the workday.

About us:

Quantum Systems is a leading European deep-tech company for unmanned systems across air, land and maritime domains. We develop and scale integrated hardware, software and AI-powered solutions for mission-critical operations. By combining autonomous platforms with intelligent software and AI, Quantum Systems enables customers to operate, understand and act across domains.

How to Apply

Please include as your cover letter:

• A detailed description of your hands-on projects , including photos, GitHub links, and videos, drawings.

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