End-to-end AI Planner_XC

Role Summary

• Responsible for the design and coding development of AI planning models
• Responsible for creating training data sets, including mining real vehicle data and building simulation data
• Responsible for the design and implementation of AI planning model pre-processing and post-processing modules

Responsible for the evaluation of AI planning models, covering full-link verification such as simulation environment open-loop testing and real vehicle closed-loop testing.

Prioritize

• Those with end-to-end autonomous driving R&D experience
• Those who have participated in high-end intelligent driving system mass production projects
• Those who have published academic papers in top AI conferences/journals (such as CVPR, ICLR, NeurIPS, ICML, etc.)

Requirements

• Master's or doctoral degree in computer science, artificial intelligence, software engineering, automation, vehicle engineering, mechatronics, electronic engineering and other related majors, with more than 3 years of work experience
• Have solid programming skills, be familiar with C++/Python language, master PyTorch/TensorFlow and other frameworks, and be familiar with common data structures
• Have a solid theoretical foundation in artificial intelligence, and have rich research or engineering experience in at least two directions in technical fields such as CNN, RNN/GRU/LSTM, Transformer, GNN, Diffusion, imitation learning, and reinforcement learning.
• Passionate about the autonomous driving industry, with good communication skills and teamwork spirit