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Senior AI Engineer
Lead core mobile-manipulation algorithms and manipulation capabilities, taking them from simulation to real robots. Master’s degree with 5+ years of experience, able to lead cross-team technical efforts.
Responsibilities
- Develop core mobile-manipulation algorithms, building a complete loop of mobility, perception, planning, grasping, manipulation and control
- Build manipulation capabilities, including single- and dual-arm grasping, manipulation of unstructured objects, contact-rich manipulation, visual servoing, force/compliance control and failure recovery
- Connect perception, navigation, decision-making, planning, control and execution, raising task success rate, stability, safety and generalization in complex real-world settings
- Take algorithms from simulation to real robots, owning debugging, validation, performance optimization and productization on physical platforms
- Track frontier work in embodied AI, robot manipulation, imitation learning, reinforcement learning, Diffusion Policy and VLA/VLM-driven manipulation, and explore its use in mobile manipulation
Requirements
- Master’s degree with 5+ years of experience in robotics, AI or a related field; PhD preferred
- 3+ years of R&D in robot manipulation, arm planning and control, mobile robots, embodied AI or mobile manipulation; experience deploying on real robots is a plus
- Familiarity with one or more of motion planning, grasp planning, trajectory optimization, inverse kinematics/dynamics, collision detection, visual servoing, force/compliance control and navigation planning
- Experience with one or more robotics development, simulation or planning tools such as ROS/ROS 2, Isaac Sim or MuJoCo
- Strong programming and engineering skills in Python, and able to deploy algorithms on real robot systems
- Proficiency in PyTorch or JAX
- Able to coordinate a team and lead cross-functional technical efforts
Nice to have
- Publications at international conferences such as NeurIPS, ICML, ICLR, RSS, CoRL or ICRA, or core patents
How to apply
Send your CV to ying.wan@china-lsh.com
Location
2F, Tianshengda Science and Technology Innovation Center, No. 118 Litai Road, Lihu Subdistrict, Binhu District, Wuxi, Jiangsu 214073, China
Posted
Apply →2026-10-12