Trouvez votre prochaine opportunité

Recherchez des offres par métier, compétence et lieu. Vérifiez les exigences avant de préparer votre candidature.

Une recherche utile ne s’arrête pas à un intitulé séduisant. Comparez les missions, les exigences et les conditions avec votre expérience. Ce guide vous aide à sélectionner des opportunités, préparer des documents pertinents et vérifier où déposer chaque candidature.

L’interface est en français. Les intitulés et descriptions publiés par les entreprises restent dans leur langue d’origine, qui peut être l’anglais.

Effacer les filtres

Résultats : 13 208

← Retour aux résultats

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

Quantum-Systems GmbH

Lieu
Wessling, BAVARIA, DE
Horaires
FULL_TIME
Publié
12 oct. 2026

Avant de postuler, confirmez sur le site de l’entreprise que l’offre est toujours ouverte et consultez les conditions complètes.

Description du poste

L’interface est en français. Les intitulés et descriptions publiés par les entreprises restent dans leur langue d’origine, qui peut être l’anglais.

About the role: At Quantum Systems, we are 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. What is your Day to Day Mission: 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.

Recherchez, comparez et préparez votre candidature

Commencez par un métier ou une compétence que vous souhaitez utiliser. Ajustez les filtres de lieu et de métier, puis ouvrez les offres pour comparer les responsabilités. Si vous ne trouvez aucun résultat, essayez un terme plus court ou retirez un filtre à la fois.

Distinguez les exigences indispensables des préférences. Vérifiez les horaires, la rémunération et le lieu lorsqu’ils sont indiqués. Un poste à distance peut imposer un pays de résidence, une autorisation de travail ou des horaires compatibles. Confirmez la disponibilité et les conditions complètes auprès de l’entreprise.

Choisissez des exemples réels de votre expérience qui répondent aux besoins du poste. Expliquez votre contribution et n’utilisez des chiffres que si vous pouvez les justifier. Suivez les consignes de l’entreprise et vérifiez vos coordonnées, le contenu et le PDF avant l’envoi.

Avant d’envoyer votre candidature

Questions sur la recherche d’emploi

Pourquoi certaines annonces sont-elles en anglais ?

Les employeurs rédigent leurs propres intitulés et descriptions. Nous conservons ces textes pour ne pas modifier les exigences ou les conditions. La navigation et ce guide sont en français. Si une recherche en français ne donne rien, essayez aussi le métier ou la compétence dans la langue de l’annonce, par exemple « software engineer ».

Un poste à distance permet-il de travailler depuis n’importe quel pays ?

Pas nécessairement. L’entreprise peut limiter les pays de résidence, exiger une autorisation de travail ou imposer des horaires. Consultez l’annonce originale. Si ces informations manquent, demandez confirmation à l’employeur avant de considérer que le poste est accessible depuis votre lieu de résidence.

Que faire si aucun résultat ne s’affiche ?

Essayez un intitulé plus général ou une seule compétence et retirez les filtres un par un. Les intitulés varient selon les entreprises. Si une annonce précise a disparu, recherchez sa référence sur la page carrières de l’entreprise ; élargir la recherche ne rouvre pas un poste fermé.

Ma candidature est-elle envoyée depuis ResumizeAI ?

Le bouton de candidature ouvre un site externe. Suivez les instructions de l’employeur ou du prestataire de recrutement et confirmez l’envoi sur ce site. Préparer un CV dans ResumizeAI ne dépose pas de candidature. Si le lien mène seulement au site de l’entreprise, recherchez d’abord le poste concerné.

Comment adapter mon CV et ma lettre de motivation ?

Reliez les exigences à des projets, missions et résultats que vous pouvez expliquer. Mettez en avant votre expérience pertinente sans inventer de compétences. Dans la lettre, expliquez votre intérêt avec un exemple concret. Respectez la langue et le format demandés, puis relisez les deux documents avant de les envoyer.