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

Quantum Systems; München; Vor Ort; EUR 65.000 - 85.000; Vollzeit

Benefits dieser Stelle

Opportunities for individual and professional growth

Collaborative team environment

Zusammenfassung

Quantum Systems is looking for a Computer Vision & AI Engineer in Munich, Germany. This role involves developing the perception stack for autonomous flight systems, focusing on low-latency detection and optimization of camera pipelines.

The ideal candidate will have a Master’s or PhD in a related field and practical experience with machine learning and embedded systems. Join a fast-paced environment at the forefront of defence innovation.

Qualifikationen

• Master's or PhD in computer vision, AI, robotics, or a related field.
• Strong understanding of camera geometry and feature detection.
• Experience implementing computer vision pipelines in Python and C++.

Aufgaben

• Develop the vision and AI pipeline for autonomous flight.
• Optimize camera pipelines for real-time processing.
• Combine machine learning and classical approaches for object detection.

Kenntnisse

Computer vision fundamentals

Machine learning pipelines

Embedded inference

Camera geometry

Object detection

Sensor fusion

Ausbildung

Master's or PhD in a related technical field

Tools

Python

C++

NVIDIA Jetson

CUDA

TensorRT

ONNX

Jobbeschreibung

About The Role

Quantum Systems is building highly autonomous interceptor systems that must perceive, decide, and act under extreme latency, motion, and environmental constraints. We are looking for a Computer Vision & AI Engineer to drive the perception stack of our Counter‑UAS interceptor platform. You will work on low‑latency camera pipelines, small‑object detection, object tracking, sensor fusion, visual odometry, precision landing, camera calibration, embedded inference, and data pipelines for training and validation.

This role is suited for someone with a strong academic or practical background in computer vision, AI, robotics, or perception systems. A Master’s degree is expected; a PhD is a strong plus. We are open to ambitious early‑career candidates if they bring strong technical depth, practical implementation skills, and the ability to own complex perception problems.

Your Mission

You will develop the vision and AI pipeline that turns raw camera data into actionable perception outputs for autonomous flight. This includes low‑latency detection and tracking, motion‑aware vision, sensor fusion with inertial data, 3D direction‑vector estimation, GPS‑denied navigation, and precision landing support.

• 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.

Why Join 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.