秋招提前批的一些真实案例分享...

TL;DR - A promotional course post uses early recruiting cases to argue that autonomous-driving employers increasingly seek specialized expertise in world models, closed-loop simulation, and VLA systems rather than generic end-to-end experience.

• Listed openings from XPeng, Xiaomi, and NIO emphasize world models, environmental perception, and large-model-based autonomous-driving algorithms.
• The curriculum covers end-to-end and dual-system VLA architectures, world models, diffusion models, reinforcement learning, long-tail planning, simulation, datasets, and evaluation.
• Practical work is based on models such as VAD, UniAD, DiffusionDrive, OpenDriveVLA, and Senna, using nuScenes, Waymo, and Argoverse data.
• The article’s hiring examples are self-reported and primarily support marketing a 14-week research and paper-writing program.