Reinforcement Learning Algorithm Engineer (J16526)
UBTECH ROBOTICS CORP LTD.
Location
China
Vacancy for
Human
Employment type
Full-time
Necessary education
Higher
Employer provided salary
0¥ per year

Posted at 12.11.2025
Description
Requirements
Our company is actively hiring for a Bipedal Robot Motion Control Engineer, offering exceptional employment opportunities in humanoid robotics. We are seeking talented professionals to develop reinforcement learning-based control algorithms for stable locomotion and dynamic whole-body movement across varied terrains. This position provides the chance to deploy and debug algorithms on physical humanoid platforms, driving real-world application. If you're searching for impactful careers in advanced robotics control, this represents one of the most exciting job openings in the field.
The ideal candidate should meet the following requirements:
1. Master's degree or above, major in robotics, computer science, automatic control, mechanical engineering, etc.;
2. Experience in the research and development of motion generation and control algorithms for foot robots, and experience in the deployment and debugging of real algorithms is preferred;
3. Familiar with intensive learning related methods, including but not limited to PPO, teacher-student model, actor-critic algorithm, curriculum learning, sim2real migration;
4. Proficient in using one or more simulation software such as Mujoco, Isaac-gym, Isaac-sim, etc.;
5. Have good programming skills and can complete the writing and optimization of related code;
6. Have good teamwork and communication skills, good learning ability and self-drive.
Check out the full job listings here
Needed key skills
- Algorithms
- C++
- Communication
- Debugging
- Development
- Problem-solving skills
- Python
- Teamwork
Bonuses
