Advanced Control Systems Engineer (up to $10,000 + Bonus)

TYSON JAY MANAGEMENT PTE. LTD.

Date: 2 weeks ago

City: Singapore, Singapore

Salary: SGD 6,000 - SGD 10,000 / mo

Contract type: Full time

Develop and deploy manipulation policies for dexterous task execution on physical robots
Build grasp planning and contact-rich control pipelines that generalize across varied objects and environments
Design and run data collection and teleoperation infrastructure to feed policy training at scale
Train manipulation policies using imitation learning, reinforcement learning, or hybrid approaches
Integrate manipulation with the perception stack and broader autonomy pipeline
Diagnose failure modes on hardware systematically and drive improvements

Strong foundations in robotics, control theory, and motion planning
Hands-on experience with manipulation systems on real robotic platforms, gained through industry or research work
Proficient in Python and C++, with PyTorch or JAX experience
Experience taking manipulation work from prototype to hardware deployment
Exposure to data collection or teleoperation workflows for policy training
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

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