Robotics Research Engineer: Real-World Manipulation

Singapore Institute of Technology; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

Singapore Institute of Technology invites applications for a Research Engineer (Robot Learning & Manipulation). This fixed-term role supports robotics research in aviation applications, covering data collection, policy training, evaluation, and deployment on real robotic systems.

You will lead end-to-end development of learning-based manipulation, integrating perception, control, and hardware across multiple platforms with industry partners and publications.

Qualifications

• Degree in a robotics, CS, mechanical/electrical engineering or AI field with hands-on research or industry work.
• Experience developing and deploying learning-based manipulation on real robots.
• Proficiency with PyTorch, Python, and ROS/ROS 2 for perception, planning and control.
• Experience with data collection via teleoperation or human-in-the-loop methods.
• Knowledge of robotics simulators such as Isaac Sim, MuJoCo or Gazebo.

Responsibilities

• Develop, implement, and evaluate learning-based manipulation methods for contact-rich tasks.
• Own end-to-end robot learning pipeline from data collection to deployment on real robots.
• Build data collection pipelines using teleoperation interfaces and ensure data quality.
• Train and deploy policies on robotic manipulators and mobile platforms.
• Integrate sensors, perception, planning, and learning into robust systems.
• Design laboratory and field evaluations, with benchmarking and reliability improvements.
• Collaborate with researchers and industry partners to translate research into practice.

Skills

Robotics research

Robot learning

PyTorch

Python

ROS / ROS 2

C++

Real-robot deployment

Teleoperation data

Software engineering

Education

Bachelor’s degree or higher in Robotics, CS, ME, EE, AI

Tools

Isaac Sim

MuJoCo

Gazebo

ROS tooling

Job description

Singapore Institute of Technology invites applications for a Research Engineer (Robot Learning & Manipulation). This fixed-term role supports robotics research in aviation applications, covering data collection, policy training, evaluation, and deployment on real robotic systems.

You will lead end-to-end development of learning-based manipulation, integrating perception, control, and hardware across multiple platforms with industry partners and publications.