自驾有这方面经验的同学，在具身很抢手

Core Insights - The article emphasizes the growing interest in the embodied AI industry, particularly for professionals with experience in end-to-end and large model training, as the industry seeks individuals with backgrounds in imitation learning and reinforcement learning [2][4]. - It highlights the relatively low entry requirements for new graduates, focusing on algorithm proficiency and problem-solving skills, particularly through platforms like LeetCode [3]. - The article discusses the high risks associated with entering the industry, suggesting that potential returns must be predictable to justify involvement [4]. Group 1: Community and Resources - The "Automated Driving Heart Knowledge Planet" community has been established to provide a comprehensive platform for learning and sharing knowledge in the autonomous driving field, aiming to grow from 4,000 to nearly 10,000 members in two years [9]. - The community offers a variety of resources, including videos, articles, learning paths, and Q&A sessions, to assist both beginners and advanced learners in navigating the complexities of autonomous driving technology [10][12]. - Members have access to over 40 technical routes and can engage with industry experts for insights on trends, technology directions, and production challenges [14][26]. Group 2: Learning and Career Development - The community provides structured learning paths for newcomers, covering essential topics such as end-to-end autonomous driving, multi-modal large models, and various algorithms [20][24]. - There are opportunities for job referrals within the community, connecting members with positions in leading autonomous driving companies [21][95]. - Regular discussions and Q&A sessions allow members to seek advice on career choices, research directions, and industry trends [98][103]. Group 3: Technical Focus Areas - The community has compiled extensive resources on various technical aspects of autonomous driving, including perception, simulation, planning, and control [26][47]. - Specific areas of focus include 3D object detection, world models, and the integration of multi-sensor data, which are critical for advancing autonomous driving technologies [43][51]. - The community also addresses emerging topics such as diffusion models and their applications in autonomous driving, providing members with insights into cutting-edge research [58].