今年，传统规划控制怎么找工作？

Core Viewpoint - The article emphasizes the evolving landscape of autonomous driving, highlighting the integration of traditional planning and control with end-to-end systems, and the importance of adapting to industry trends for job seekers in this field [2][4][29]. Group 1: Industry Trends - The shift towards end-to-end and VLA (Vision-Language Alignment) systems is impacting traditional planning and control roles, which are still essential for safety-critical applications like L4 autonomous driving [2][4][29]. - There is a growing emphasis on combining rule-based algorithms with end-to-end approaches in job interviews, indicating a need for candidates to be proficient in both areas [3][4]. Group 2: Educational Offerings - The company has launched specialized courses aimed at addressing real-world challenges in autonomous driving planning and control, focusing on practical applications and interview preparation [5][7][10]. - The courses are designed to provide hands-on experience with industry-relevant projects, enhancing participants' resumes and job prospects [8][10][12]. Group 3: Course Structure - The curriculum covers foundational algorithms, decision-making frameworks, and advanced topics such as contingency planning and interactive planning, ensuring a comprehensive understanding of the field [20][21][24][26][29]. - The course also includes interview coaching, resume enhancement, and personalized guidance from industry experts, aimed at increasing participants' employability [31][34][36]. Group 4: Target Audience - The courses are tailored for individuals with a background in vehicle engineering, automation, computer science, and related fields, as well as those looking to transition into autonomous driving roles [37][39]. - Participants are expected to have a basic understanding of programming and relevant mathematical concepts to fully benefit from the training [38][39].