1. Core work: Responsible for the research and development of core technologies for autonomous driving perception algorithms;
2. Algorithm implementation: Responsible for the research and development of multi-sensor integration, and the implementation of machine vision and lidar fusion perception; Participate in the implementation of autonomous driving perception algorithms;
3. Frontier Tracking: Tracking and Research of Deep Learning Fusion Perception Frontier Algorithms
4. R&D Documents: Responsible for writing design related documents during the development process of the fusion algorithm module software.

1. Education requires a master's degree or above
2. Professional requirements: Surveying and Mapping, Geographic Information Systems, Remote Sensing Technology and Applications, Computer, Computer Vision, etc. 3. Work experience of 3 years or more in related fields
4. Professional knowledge: Proficient in using C++/C or Python; Proficient in machine learning or deep learning, proficient in mainstream deep learning frameworks such as Python and TensorFlow, and have experience in model tuning. Experience in point cloud classification and semantic segmentation is preferred
5. Ability and quality: Proficient in reading English literature and implementing relevant algorithms based on the literature; Possess good learning ability, passion for technical expertise in the professional field, courage to challenge, and good at analyzing and solving problems; Strong sense of responsibility and good teamwork spirit.