Job Category: Information Technology Other
Job Type: Full Time Permanent
Job Location: Singapore
Job Salary Range: S$6000 - S$10000 per month + Bonus
Responsibilities
- Develop and iterate on locomotion controllers and motion policies for a legged platform
- Train and evaluate policies in simulation across walking, recovery, stair climbing, and load-bearing behaviors
- Design reward functions, curriculum schedules, and training infrastructure for real-world robustness
- Drive systematic sim-to-real transfer and hardware iteration
- Integrate locomotion outputs with the broader autonomy stack
- Collect and analyze hardware telemetry to guide policy improvement
Requirements
- Strong foundations in reinforcement learning, optimal control, and rigid body dynamics
- Hands-on experience training or deploying locomotion and motion control policies on physical legged robots, gained through industry or research work
- Proficient in Python, with strong JAX or PyTorch experience
- Experience with physics simulation environments such as MuJoCo, Isaac Gym, Genesis, or equivalent
- Practical experience closing the sim-to-real gap on a real platform
- Candidates with limited industry experience are welcome to apply, provided this is supported by strong relevant academic or research work, such as a thesis, publications, or hands-on robotics projects
Tyson Jay Management Pte Ltd | EA License No.: 24C2479
Ivan Lim | EA Personnel No.: R1109856