秋招面经！大疆卓驭感知算法工程师面试~

Core Viewpoint - The article discusses the recruitment process and job responsibilities for a perception algorithm engineer in the autonomous driving industry, emphasizing the importance of skills in computer vision, deep learning, and sensor fusion technologies [1][5][6]. Group 1: Job Responsibilities - The role involves processing large amounts of autonomous driving data, building automated ground truth labeling systems, and designing cutting-edge AI and vision technologies [6]. - Algorithms and code developed will be deployed in millions of mass-produced vehicles [6]. - Key tasks include detecting static scene elements, tracking dynamic targets, and developing calibration methods for various sensors [10]. Group 2: Job Qualifications - Candidates should have a master's degree or higher in relevant fields such as computer science, automation, or mathematics [7]. - Proficiency in programming languages like C++ or Python, along with solid knowledge of algorithms and data structures, is required [7]. - Familiarity with multi-view geometry, computer vision, deep learning, and sensor technology applications is essential [7]. Group 3: Preferred Qualifications - Experience in developing perception algorithms for autonomous driving systems or ADAS, such as lane detection and obstacle tracking, is a plus [9]. - Candidates with experience in sensor fusion involving visual, LiDAR, and millimeter-wave radar are preferred [9]. - Publications in top conferences or journals in the fields of computer vision, machine learning, or robotics are advantageous [9]. Group 4: Community and Resources - The article mentions a community platform for job seekers in autonomous driving and robotics, providing resources such as interview questions, industry reports, and salary negotiation tips [12][13]. - The community aims to assist members in preparing for job applications and understanding industry trends [12][21].