{"id":749599,"url":"https://alion.io/job/alpineeagle-head-of-computer-vision-engineering-mfd","title":"Head of Computer Vision Engineering (m/f/d)","company":{"id":669070,"name":"Alpine Eagle","domain":"alpineeagle.com","url":"https://alion.io/company/alpineeagle","size_band":"1-10","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":95,"open_postings":16,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":224,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Karlsruhe, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":100000,"max_usd":229000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Machine Learning","optional":false},{"name":"C++","optional":true},{"name":"CNN","optional":true},{"name":"CUDA","optional":true},{"name":"OpenCV","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"ROS","optional":true},{"name":"TensorFlow","optional":true},{"name":"TensorFlow C++","optional":true},{"name":"YOLO","optional":true}],"status":"live","first_seen_at":"2025-05-21T07:06:35Z","employer_posted_date":"2026-02-17","last_verified_at":"2026-11-04T13:55:26Z","board_verified":true,"closed_at":null,"days_open":532,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":531},"description":"At Alpine Eagle, we are a team of specialists with backgrounds in defence, aerospace engineering and machine learning, building the first airborne, swarm-based system to provide protection against the rising drone threat. We believe that recent conflicts have shown the malicious and disruptive potential of drones in both civilian and defense scenarios. In addition, we are convinced that the next step in counter-drone is air-to-air. We want to ensure that all governments and institutions that believe in personal freedom and the rule of law have cutting edge solutions to protect against this rising threat.\nWe offer a work environment that is inclusive and open, with a flat hierarchy, and a purpose-driven team. We want to reinforce a culture where great ideas can flourish, and great people collaborate.\nAs the Head of Computer Vision Engineering, you will play a pivotal role in advancing Alpine Eagle’s drone technology. You will lead and inspire our computer vision and perception team, shaping the future of our UAV solutions. This is a hands-on leadership role where you will develop and optimize computer vision algorithms, drive perception architecture, and collaborate across teams to deliver next-generation drone capabilities. \nHow you will make an impact:\nLead the computer vision strategy and roadmap Define milestones aligned with company goals, establish systematic development processes, and ensure timely delivery of innovative computer vision capabilities. \n\nDesign, implement, and optimize computer vision algorithms for visual navigation Develop real-time object detection and classification, multi-object tracking across frames and scenes, and visual SLAM for outdoor navigation. \n\nIntegrate vision systems with robotic platforms and edge devices Collaborate with cross-functional teams to deploy robust solutions in production environments. \n\nDesign and optimize algorithms and architectures Develop advanced computer vision algorithms for drone applications such as object detection, tracking, segmentation, and scene understanding. \nEvaluate and benchmark models using real-world datasets and simulations. \n\nBuild and develop a high-performing team Lead by example, mentor engineers, and foster a culture of growth, collaboration, and technical excellence. \n\nStay at the forefront of technology Continuously research and implement state-of-the-art computer vision techniques, with a focus on aerial and C-UAS applications. \n\nChampion code quality and documentation Promote best practices through code reviews, maintain high code quality, and ensure clear, consistent documentation.\n\n What you need to be successful:\nBachelor’s or Master’s degree in Computer Science, Robotics, or a related field; PhD is a plus \nStrong experience with deep learning frameworks (TensorFlow, PyTorch) and architectures such as CNNs, object detectors, and tracking algorithms \nProficiency in object detection models (YOLO, Faster R-CNN, SSD, etc.) \nSolid understanding of visual SLAM, structure-from-motion, and navigation techniques \nProgramming skills in Python and C++ (ROS experience is a plus) \nFamiliarity with OpenCV, CUDA, and real-time video processing \nProven ability to lead and build high-performing teams in fast-paced, innovative environments \nHands-on approach with strong ownership and accountability \nSystematic problem-solving skills and excellent documentation habits \nCollaborative mindset with a team-first attitude \nAt Alpine Eagle, we are committed to diversity and equal opportunity. 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