Core Insights - Mercedes-Benz Group is preparing to invest in Chongqing Qianli Technology, a developer of autonomous driving systems backed by Geely [1] Company Summary - The investment by Mercedes-Benz Group indicates a strategic move towards enhancing its capabilities in autonomous driving technology [1] - Chongqing Qianli Technology is positioned as a key player in the autonomous driving sector, supported by Geely, which may provide additional resources and expertise [1] Industry Summary - The autonomous driving industry is witnessing increased investments from major automotive players, reflecting a growing trend towards innovation and technological advancement [1] - Collaborations between established automotive companies and technology developers are becoming more common, aiming to accelerate the development and deployment of autonomous driving solutions [1]

Core Insights - The automatic driving industry is experiencing a paradox where job openings are abundant, yet companies struggle to find suitable talent. This is attributed to a shift in market expectations and a focus on sustainable business models rather than rapid expansion [2][3]. Industry Overview - Companies in the automatic driving sector are now more cautious with their spending, prioritizing survival and the establishment of viable business models over aggressive hiring and expansion strategies. This shift is expected to lead to significant industry adjustments within the next 1-3 years [2][3]. Talent Demand - There is an unprecedented demand for "top talent" and "highly compatible talent" in the automatic driving field. Companies are not necessarily unwilling to hire, but they are looking for candidates with exceptional skills and relevant experience [4][3]. Community and Resources - The "Automatic Driving Heart Knowledge Planet" is the largest community focused on automatic driving technology in China, established to provide resources and networking opportunities for professionals in the field. It has nearly 4000 members and over 100 industry experts contributing to discussions and knowledge sharing [9][10]. Learning and Development - The community offers comprehensive learning pathways covering various subfields of automatic driving technology, including perception, mapping, and AI model deployment. This initiative aims to support both newcomers and experienced professionals in enhancing their skills [9][12][13]. Job Placement Support - The community has established a direct referral mechanism with numerous automatic driving companies, facilitating job placements for members. This service aims to streamline the hiring process and connect qualified candidates with potential employers [10][9].

Core Viewpoint - The article discusses the current trends and opportunities in the fields of autonomous driving and embodied intelligence, emphasizing the need for strong technical skills and knowledge in cutting-edge technologies for job seekers in these areas [3][4]. Group 1: Job Market Insights - The job market for autonomous driving and embodied intelligence is competitive, with a high demand for candidates with strong backgrounds and technical skills [2][3]. - Companies are increasingly looking for expertise in advanced areas such as end-to-end models, visual language models (VLM), and reinforcement learning [3][4]. - There is a saturation of talent in traditional robotics, but many startups in the robotics sector are rapidly growing and attracting significant funding [3][4]. Group 2: Learning and Development - The article encourages individuals to enhance their technical skills, particularly in areas like SLAM (Simultaneous Localization and Mapping) and ROS (Robot Operating System), which are relevant to robotics and embodied intelligence [3][4]. - A community platform is mentioned that offers resources such as video courses, hardware learning materials, and job information, aiming to build a large network of professionals in intelligent driving and embodied intelligence [5]. Group 3: Technical Trends - The article highlights four major technical directions in the industry: visual language models, world models, diffusion models, and end-to-end autonomous driving [8]. - It provides links to various resources and papers related to these technologies, indicating a focus on the latest advancements and applications in the field [9][10].

Core Viewpoint - The article emphasizes the importance of advanced skills and knowledge in the fields of autonomous driving and embodied intelligence, highlighting the need for candidates with strong backgrounds to meet industry demands. Group 1: Industry Trends - The demand for talent in autonomous driving and embodied intelligence is increasing, with a focus on cutting-edge technologies such as SLAM, ROS, and large models [3][4]. - Many companies are transitioning from traditional methods to more advanced techniques, indicating a shift in the required skill sets for job seekers [3][4]. - The article notes that while there is a saturation of talent in certain areas, the growth of startups in robotics presents new opportunities for learning and development [3][4]. Group 2: Learning and Development - The article encourages individuals to enhance their technical skills, particularly in areas related to robotics and embodied intelligence, which are seen as the forefront of technology [3][4]. - It mentions the availability of resources and community support for learning, including access to courses, hardware, and job information through platforms like Knowledge Planet [5][6]. - The community aims to create a comprehensive ecosystem for knowledge sharing and recruitment in the fields of intelligent driving and embodied intelligence [5][6]. Group 3: Technical Directions - The article outlines four major technical directions in the industry: visual large language models, world models, diffusion models, and end-to-end autonomous driving [7]. - It highlights the importance of staying updated with the latest research and developments in these areas, providing links to various resources and papers for further exploration [8][9].