作者丨肖漫 头图丨视觉中国 自动驾驶人才正在密集转向具身智能领域。 近期，前华为车BU首席科学家陈亦伦、百度智能驾驶事业群负责人李震宇联合创立的"它石智航"， 完成 1.2 亿美元天使轮融资，创下国内具身智能领域最大天使轮纪录。同期，地平线创始成员余轶 南、原小米汽车自动驾驶负责人刘方等人也都入局具身智能创业。 这几乎是近 10 年科技领域最大的一次人才迁徙。 据虎嗅汽车了解，目前中国具身智能领域创业公司 超过 300 家，创始团队多为企业的AI、自动驾驶技术高管。 本期车圈脉动将聚焦从自动驾驶到具身智能的这场人才迁徙。它为什么会发生，为什么自动驾驶还没 做出来，他们就跑去做机器人了？ 进入具身智能赛道的智驾大牛们 以下是虎嗅的不完全整理： 为什么扎堆进入具身智能赛道？ 出品丨虎嗅汽车组 • 目前机器人大脑模型的主流技术路线 VLA 已经在自动驾驶领域广泛应用且取得成效。如星海图的 赵行，一直都为理想汽车提供自动驾驶领域的技术支持，现在他也用自动驾驶的技术经验做机器人大 脑开发。 3. 需求大：机器人人才稀缺，反向挖角 • 缺口：2025 年机器人算法工程师岗位需求同比激增 409%，5 年以上经验者月薪 5 ...

Core Insights - The article discusses the evolving landscape of embodied intelligence, highlighting its transition from a period of hype to a more measured approach as the technology matures and is not yet at a productivity stage [2]. Group 1: Industry Trends - Embodied intelligence has gained significant attention over the past few years, but the industry is now recognizing that it is still in the early stages of development [2]. - There is a growing demand for skills in multi-sensor fusion and robotics, particularly in areas like SLAM and ROS, which are crucial for engaging with embodied intelligence [3][4]. - Many companies in the robotics sector are rapidly developing, with numerous startups receiving substantial funding, indicating a positive outlook for the industry in the coming years [3][4]. Group 2: Job Market and Skills Development - The job market for algorithm positions is competitive, with a focus on cutting-edge technologies such as end-to-end models, VLA, and reinforcement learning [3]. - Candidates with a background in robotics and a solid understanding of the latest technologies are likely to find opportunities, especially as traditional robotics remains a primary product line [4]. - The article encourages individuals to enhance their technical skills in robotics and embodied intelligence to remain competitive in the job market [3][4]. Group 3: Community and Resources - The article promotes a community platform that offers resources for learning about autonomous driving and embodied intelligence, including video courses and job postings [5]. - The community aims to gather a large number of professionals and students interested in smart driving and embodied intelligence, fostering collaboration and knowledge sharing [5]. - The platform provides access to the latest industry trends, technical discussions, and job opportunities, making it a valuable resource for those looking to enter or advance in the field [5].