We are hiring a Robot Reinforcement Learning Engineer for our Shenzhen R&D team, offering exciting employment opportunities in robotics and AI-driven algorithm development. This full-time role focuses on sim2real deployment, motor modeling, and enhancing learning algorithms on physical robot prototypes, making it ideal for those pursuing advanced careers in robotics. Explore these job openings if you are skilled in C++, Python, ROS, and deep learning frameworks, and are passionate about cutting-edge robotic applications. Join our innovative team and help bring reinforcement learning algorithms to life on real-world robots.

Candidate requirements include:
1. Familiar with robots, and a background in robot work is preferred;

2. Master the C++ and python programming languages, understand the working methods of the ROS system, and understand the use of deep learning frameworks such as PyTorch and TensorFlow;

3. Understand robot simulation software, such as mojuco, gazebo, NVIDIA Isaac, etc;

4. Understand the key issues in the sim2real process of the machine, such as motor modeling, communication delay simulation, noise, perception simulation, etc;

5. Have a strong interest and passion in robotics and AI intensive learning.

Check out the full job listings here.