驭势科技环境感知算法工程师招聘（可直推）

Core Viewpoint - The article emphasizes the critical importance of environmental perception algorithms in ensuring the safety of autonomous driving, highlighting the need for skilled professionals in this field [5]. Group 1: Job Responsibilities - The role involves accurately detecting and locating all objects in the surrounding environment, such as roads, pedestrians, vehicles, and bicycles, to ensure safe driving [5]. - Responsibilities include data processing and multi-sensor data fusion for autonomous driving applications, achieving complex perception functions like multi-target tracking and fine-grained semantic understanding [5]. Group 2: Job Requirements - A solid mathematical foundation is required, particularly in geometry and statistics [5]. - Candidates should possess strong knowledge in machine learning and deep learning, with practical experience in cutting-edge technologies [5]. - Experience in algorithms related to scene segmentation, object detection, recognition, tracking, and BEV perception based on vision or LiDAR is essential [5]. - Strong engineering skills are necessary, with proficiency in C/C++ and Python, as well as familiarity with at least one other common programming language [5]. - Understanding of 3D imaging principles and methods, such as stereo, structured light, and ToF, is required [5]. - A deep understanding of computer architecture is needed to develop high-performance, real-time software [5]. - Candidates should have a passion for innovation and a commitment to creating technology that solves real-world problems [5].