ADAS Perception Development Intern

       作为全球领先的工程技术合作伙伴之一，IAV 致力于未来可移动性的研发。不论具体的制造商，IAV 的工程技术已在全世界范围的车辆和技术领域证明了自己的实力。

       凭借超过35 年的经验和卓越的专业知识，IAV 将不同领域的优势融合在一起：汽车与IT、硬件与软件、产品与服务。凭借超过7,500 名员工及一流的技术资源，从概念到开始生产，IAV都能为客户的项目实施提供帮助。IAV 的目标：更好的可移动性。

       艾尔维中国公司成立于2005 年，总部位于上海国际汽车城，并在2024年于上海普陀真如新增设一处办公室；同时艾尔维公司北京分公司和合肥分公司分别于2012 年和2022年成立。艾尔维公司致力于其基础研究，开展其高端开发活动，并跨学科地开展工作。

ADAS Perception Development Intern

Job Responsibilities:

1. Responsible for the research and development of algorithm components such as autonomous driving scene segmentation/semantic segmentation/object detection, providing algorithm solutions that meet autonomous driving requirements.
2. Responsible for training/inference/testing of scene annotation models to ensure the performance and stability of the scene annotation module.
3. Responsible for scene annotation and demo production to showcase the performance and advantages of algorithms.
4. Responsible for the development and maintenance of the automated toolchain for scene annotation to improve the efficiency and accuracy of scene annotation.

Qualifications:

1. Bachelor's degree or above in computer science, vehicle engineering, transportation, control, mathematics, physics, or related fields (currently enrolled).
2. Strong programming foundation, proficient in one or more of the following programming languages: Python, C/C++, SQL, JavaScript.
3. Familiar with autonomous driving perception algorithm research, proficient in the principles and code implementation of scene segmentation/semantic segmentation/object detection and other scene annotation-related algorithms.
4. Proficient in deep learning frameworks such as PyTorch/TensorFlow, experience with optimization tools like TensorRT is preferred.
5. Familiar with Linux development environment, proficient in development languages such as C++/Python.
6. Preference for those who have published papers in fields such as deep learning/machine learning/computer vision.
7. Good communication skills, teamwork ability, and learning capability.
8. Familiar with common computer vision and image processing libraries such as OpenCV/Pycocotools, experience in autonomous driving perception algorithm development is preferred.
9. Experience in end-to-end deep learning model training/inference/testing is preferred.
10. Familiar with C++/Python development, experience in autonomous driving perception algorithm research/development is preferred.
11. Good communication skills, proficiency in English/German is a plus.