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实习岗(6个月),负责实现与基准测试融合深度、RGB和点云数据的3D人体检测算法,构建安全人体检测原型管线,并开发测试框架验证安全接口行为及采集认证数据。
Computer Vision Intern – Safe Human Detection (m/f/d). Synapticon HQ - Schönaich. Full-time. Intern / Student. WHAT WE ARE LOOKING FOR: We're looking for a motivated Computer Vision Intern (ideally 6 months, mandatory internship) to join our Safety Systems team in Schönaich (close to Stuttgart), with a flexible start date. If you're passionate about real-time 3D perception and want to contribute to safety-critical systems that keep people safe around humanoid robots — this is a uniquely impactful place to develop your skills. HERE'S WHERE YOU MAKE AN IMPACT: Implement and benchmark 3D person detection algorithms that fuse depth, RGB, and point cloud data — the core perception layer for knowing where humans are relative to the robot at all times;
Build and integrate Safe Human Detection (SHD) prototype pipeline, turning raw sensor data into actionable, safety-relevant information;
Develop test harnesses and validating that the safety interface behaves correctly under all defined conditions;
Run benchmarking and data collection to generate the kind of reproducible, documented evidence that a real certification process requires. WHAT'S IN IT FOR YOU: Flexible working hours when life takes unexpected turns;
Company support for gym memberships through Wellpass;
Birthday vouchers;
Drinks and coffee (free of charge, of course);
Snacks and fruit for all employees, as well as breakfast every Monday;
Regular global team-building events such as boot camps, skiing, and summer BBQs;
An international team with long-term prospects;
Highly competent colleagues who are experts in their field and happy to support you in your learning and growth;
Modern office space;
Our company's WG (upon availability). About us: HACKING THE PHYSICS AND ECONOMICS OF MOTION CONTROL WITH DIGITAL TECHNOLOGY.
WHO YOU ARE: Enrolled MSc student in Computer Science, Electrical Engineering, or Robotics — with a strong interest in applied perception and real-world systems;
Strong Python skills and working knowledge of C++, with the ability to move between rapid prototyping and more structured, maintainable implementation;
Experience with computer vision and 3D depth sensing — RealSense, Azure Kinect, or similar — and a genuine understanding of what the data actually represents;
Familiar with point cloud processing tools like PCL or Open3D;
Basic knowledge of the ROS2 perception stack; interest in safety-critical systems and functional safety context is a plus.
Synapticon公司招聘电气工程实习生,参与人形机器人原型开发,负责线束设计、连接器接口文档、电源分配设计及EMC屏蔽审查,实习期约6个月,团队国际化,办公地点位于斯图加特附近。