Our company is actively hiring for a Humanoid Robot Navigation Algorithm Engineer, offering exceptional employment opportunities in cutting-edge robotics technology. We are looking for talented professionals to develop end-to-end navigation algorithms combining reinforcement learning and imitation learning for humanoid robots. This position provides the chance to work on complete navigation systems from planning to motion control in both simulation and real airport environments. If you're searching for impactful careers in robotics navigation, this represents one of the most exciting job openings in the humanoid robot industry.

The ideal candidate should meet the following requirements:

1. Master's degree or above in computer science, automation, robotics and other related majors.；
2. Familiar with the principles of mainstream reinforcement learning and imitation learning algorithms, understand the principles of mainstream model architecture such as Transformer, have practical experience in related projects, and master at least one deep learning framework (such as TensorFlow, PyTorch)；
3. Have experience in the development of robot navigation algorithms, understand path planning, obstacle avoidance algorithms, etc., and have relevant experience in humanoid robots is preferred；​
4. Good programming skills, proficient in Python/C++ language, strong problem solving and logical analysis skills；
5. Have a good team spirit and be able to communicate and cooperate effectively with cross-departmental teams.

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