Location: Trento (Italy), Torino (Italy), Milano (Italy), Monterotondo (Italy), Pozzuoli (Italy) Remote (Europe-wide) available About Us Eyes On is a Sport Tech company founded in 2016 in Trento, Italy. We develop cutting-edge on-court and off-court technological solutions for tennis and padel—including ball/player tracking, realtime technical statistics, line calling services, automated video highlights, and more. As a proud member of the Crionet Group, we are part of a global network known for delivering integrated multimedia solutions for sporting events. Role Overview We are looking for a Computer Vision Engineer with a strong command of OpenCV and modern C++ (versions 11/14/17) to design, develop, and optimize computer vision algorithms. Whether you are an eager mid-level developer or an experienced senior engineer, you will play a vital role in implementing image processing and object tracking solutions in a dynamic, cross-functional team. Key Responsibilities Design and develop algorithms for image processing, object detection, and tracking in both 2D and 3D environments. Implement and optimize computer vision solutions using modern C++ and OpenCV. Perform camera calibration and manage complex image processing tasks. Collaborate with cross-functional teams, from ideation and prototyping to deployment and maintenance. Use version control systems (e.g., Git) for code management and collaboration. For Mid-Level Profiles Execute development tasks based on established best practices and receive guidance from senior team members. Work on defined projects while continuously learning and expanding your expertise. Contribute ideas and improvements to existing solutions within a supportive team environment. For Senior Profiles Lead the design, architecture, and development of advanced computer vision algorithms. Mentor junior and mid-level engineers, providing technical guidance and best practices Minimum Qualifications Proficiency with C++ (versions C++11, C++14, and/or C++17). Solid hands-on experience with OpenCV for computer vision tasks. Demonstrated experience with object tracking in 2D and/or 3D contexts. Excellent problem-solving skills and the ability to work both independently and in an international team. Preferred Qualifications (Nice-to-Have) Proficiency with Python for rapid prototyping or scripting. Exposure to deep learning models for object detection and tracking. Knowledge or passion for tennis/padel (beneficial but not essential). Why Join Us? Work in a young, dynamic, and innovative team alongside global experts in sports technology. Opportunity to contribute to projects that are transforming real-time sports analysis. Benefits include a creative work environment, flexible remote arrangements across Europe. J-18808-Ljbffr