次の仕事の機会を見つけましょう

職種、スキル、勤務地で求人を検索できます。応募書類を準備する前に募集要件を確認しましょう。

魅力的な職種名を見つけることは、仕事探しの出発点です。業務内容、応募条件、働き方を自分の経験と照らし合わせましょう。このガイドでは、候補の絞り込み、応募書類の準備、提出先の確認を順番に進めるためのポイントを紹介します。

操作画面は日本語です。企業が掲載した求人の職種名や説明文は原文のまま表示され、英語の場合があります。

条件をクリア

検索結果: 13,209

← 検索結果に戻る

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

Quantum-Systems GmbH

勤務地
Wessling, BAVARIA, DE
勤務時間
FULL_TIME
掲載日
2026年10月12日

応募する前に、企業のウェブサイトで現在も募集中かどうかと詳しい条件を確認してください。

仕事内容

操作画面は日本語です。企業が掲載した求人の職種名や説明文は原文のまま表示され、英語の場合があります。

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.

検索して比較し、応募を準備しましょう

次の仕事で活かしたい職種やスキルから検索を始めましょう。勤務地と職種の条件を調整し、求人を開いて担当業務を比較してください。結果がない場合は、短い検索語を試すか、条件を一つずつ外してみましょう。

必須条件と歓迎条件を分けて確認し、勤務時間、報酬、勤務地が掲載されている場合は目を通しましょう。リモート勤務でも、居住国、就労資格、勤務時間帯が指定されることがあります。現在の募集状況と詳しい条件は企業に確認してください。

募集要件に関連する実際の経験を選び、自分の役割と貢献を説明しましょう。数値は根拠がある場合にのみ使ってください。企業の応募方法に従い、送信前に連絡先、内容、PDFの表示を確認しましょう。

応募前の確認リスト

仕事探しに関するよくある質問

英語の求人が表示されるのはなぜですか?

職種名や説明文は企業が作成したものです。条件や要件を変えないように原文を掲載しています。操作画面とこのガイドは日本語です。日本語の検索で見つからない場合は、「software engineer」のように、掲載言語の職種名やスキル名でも検索してみてください。検索語が自動翻訳されるわけではありません。

リモート求人なら、どの国からでも働けますか?

必ずしもそうではありません。居住国、就労資格、勤務時間帯が指定されている場合があります。元の求人ページで条件を確認してください。記載がない場合は、自分の居住地から応募できると判断する前に企業へ確認しましょう。リモートという表示だけでは、勤務地の制限がないことは分かりません。

検索結果が出ない場合はどうすればよいですか?

より一般的な職種名や一つのスキルで検索し、条件を一つずつ外してみてください。同じような仕事でも企業によって呼び方が異なります。特定の求人が見つからなくなった場合は、企業の採用ページで求人番号を探しましょう。検索条件を広げても、終了した募集が再開するわけではありません。

ResumizeAIから応募が送信されますか?

応募ボタンは外部サイトを開きます。企業または採用サービスの案内に従い、そのサイトで送信を完了してください。ResumizeAIで応募書類を作成しただけでは応募は送信されません。リンク先が企業のトップページの場合は、該当する募集を探してから手続きを進めましょう。

応募書類とカバーレターはどう調整すればよいですか?

募集要件と、自分が説明できるプロジェクト、業務、成果を結び付けます。経験していない技術や実績を加えず、関連する経験を分かりやすく示してください。カバーレターでは応募理由を具体例とともに伝えます。指定された言語とファイル形式に従い、送信前に両方の書類を確認しましょう。