Main Responsibilities主要职责
1. Design and implementation of visual perception validation plans
视觉感知验证方案设计与落地
Independently design visual perception performance validation plans for robot vacuums, lawn-mowing robots, pool-cleaning robots, and embodied robots
针对扫地机、割草机器人、泳池机及具身机器人，独立设计视觉感知性能验证方案
Develop an evaluation metric system for perception success rate, including object detection rate, false positive rate, false negative rate, etc.
制定感知成功率的评估指标体系，包括目标检测率、误检率、漏检率等
Design test cases covering typical and edge-case scenarios based on product application scenarios
结合产品应用场景，设计覆盖典型及边缘场景的测试用例
2. Test execution and data analysis
测试执行与数据分析
Independently build and configure the visual perception test environment
独立搭建并配置视觉感知测试环境
Execute functional testing, robustness testing, and stress testing for perception algorithms
执行感知算法的功能性测试、鲁棒性测试及压力测试
Conduct statistical analysis of test data and generate perception success rate reports and improvement suggestions
对测试数据进行统计分析，输出感知成功率报告及改进建议
Job Requirements任职要求
Education and Major学历与专业
Bachelor’s degree or above in Computer Vision, Artificial Intelligence, Electronic Engineering, Automation, Robotics Engineering, or related fields
本科及以上学历，计算机视觉、人工智能、电子工程、自动化、机器人工程等相关专业
Professional Skills专业技能
Familiar with fundamental computer vision theories, including object detection, semantic segmentation, depth estimation, etc.
熟悉计算机视觉基础理论：目标检测、语义分割、深度估计等
Proficient in Python / C++ programming and able to independently write test scripts and data analysis code
具备Python / C++编程能力，能够独立编写测试脚本及数据分析代码
Familiar with visual perception evaluation metrics such as mAP, IoU, Precision/Recall, and F1-Score
熟悉视觉感知评估指标：mAP、IoU、Precision/Recall、F1-Score等
Understand the fundamentals of camera calibration, image preprocessing, and sensor fusion
了解相机标定、图像预处理、传感器融合基础知识
Preferred Qualifications加分技能
Experience with Robot Operating System (ROS/ROS2)
有机器人操作系统（ROS/ROS2）使用经验
Familiar with dataset annotation tools (such as LabelImg and CVAT) and dataset management processes
熟悉数据集标注工具（如 LabelImg、CVAT）及数据集管理流程
Knowledge of relevant standards such as ISO 13482 and UL 3300
了解 ISO 13482、UL 3300 等相关标准
Experience in the development or testing of embedded vision platforms
有嵌入式视觉平台开发或测试经验
Experience Requirements经验要求
More than 1 year of relevant work experience in computer vision algorithm testing, validation, or development
1年以上计算机视觉算法测试、验证或开发相关工作经验
Experience in robotics, smart home, autonomous driving, or industrial vision is preferred
有机器人、智能家居、自动驾驶或工业视觉领域经验者优先
Work experience in testing and certification organizations (such as TÜV, SGS, UL, etc.) is preferred
有检测认证机构（TÜV、SGS、UL等）工作背景者优先
Soft Skills软技能
Strong learning ability and the capacity to quickly keep up with AI technology developments
具有较强的学习能力，能快速跟进AI技术发展动态
Able to work independently and establish test plans from scratch
具备独立工作能力，能够从零开始建立测试方案
Strong logical thinking and good documentation and technical communication skills
逻辑思维严谨，具备良好的文档撰写与技术表达能力
Good cross-functional communication and collaboration skills
良好的跨部门沟通与协作能力
In the Products division at TÜV Rheinland, we are looking for talented individuals who want to join us at the forefront of safety, quality, and innovation. Our goal is to ensure that products on international markets are safe and compliant with standards—from consumer goods to highly complex medical devices. In doing so, we help companies meet national and international standards.
Equal opportunities are particularly important to us at TÜV Rheinland. We are committed to breaking down barriers and creating an inclusive working environment characterised by respect, diversity and genuine participation. We therefore particularly welcome applications from people with severe disabilities.
Join a strong team! At TÜV Rheinland, you can apply and expand your expertise in an international setting. We offer a dynamic work environment that fosters innovation and is committed to diversity and continuous learning. Together, we are shaping a future where safety and quality go hand in hand.
