L4 Autonomous Driving Planning Algorithm Engineer

1. Responsible for the research, development, debugging, and testing of algorithms.

2. Research industry algorithms and design core driving scenario processing strategies.

3. Complete related algorithm development and performance verification.

1. Majors in Mathematics, Computer Science, Artificial Intelligence, Automation, Electrical Engineering, Mechanical Engineering, or related fields.

2. For Decision-Making, familiarity with common decision-making algorithms is required, such as Finite State Machines, Decision Trees, and SVM. For Planning, familiarity with common path planning and velocity planning algorithms (such as Hybrid A*, RRT, and Lattice Planner) is required.

3. For Control, proficiency in Model Predictive Control, Level QR, and other optimization-based control methods or adaptive control algorithms is required.

4. Strong programming skills, proficient in C/C++ programming languages, and experience developing on the Linux platform.

5. Familiarity with ROS; experience in ROS projects is preferred.

6. Excellent communication and teamwork skills.

7. Experience in autonomous driving-related projects is preferred.