一位智驾算法工程师的跳槽复盘：焦虑与选择......

Core Insights - The article discusses the evolving landscape of the AI and autonomous driving industry, highlighting the increasing complexity and competition in algorithm engineering roles, particularly as single-module algorithm positions are expected to decline [4][5][6]. Group 1: Industry Trends - The year 2025 is anticipated to be a pivotal year for the AI industry, marked by rapid advancements in large models and a shift in autonomous driving technology from end-to-end solutions to more complex architectures [4]. - There is a growing concern among industry professionals about being left behind, as many engineers are still working on outdated solutions while only a few have the opportunity to engage in cutting-edge projects [5]. Group 2: Job Market Insights - For algorithm engineers, potential job directions include L2 assisted driving, with opportunities primarily in traditional and new automotive manufacturers, as well as suppliers. However, newer roles in VLA (Vehicle Level Architecture) may offer more core positions [9]. - The L4 commercialization is expected to gain momentum in 2026, with companies expanding teams for applications such as robotaxis and autonomous logistics. These teams are generally smaller and have clearer business models [11]. - The concept of embodied intelligence is gaining traction, with numerous startups emerging. Current recruitment focuses on VLA, reinforcement learning, and motion control, while traditional perception algorithms are less in demand [14]. Group 3: Personal Career Decisions - The author ultimately chose to pursue opportunities in the L4 direction, which, while not the most popular, aligns better with personal judgment and market trends [15].