Senior Robotics Research Engineer - Adaptive Manipulation

A*STAR - Agency for Science, Technology and Research; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A*STAR - Agency for Science, Technology and Research in Singapore is hiring a Research Engineer/Senior Research Engineer to develop and implement humanoid and multi-arm robotic manipulation systems for industrial tasks. The role requires a Bachelor's or Master's degree in Robotics or a related field, and strong programming skills in Python and/or C++. You'll engage in designing multimodal perception systems, implementing learning-based manipulation policies, and testing robotic prototypes to enhance task success in manufacturing environments.

Qualifications

• Bachelor’s or Master’s degree in Robotics, Computer Engineering, Mechanical Engineering, Computer Science, Automation, or related fields.
• Strong programming skills in Python and/or C++, with experience building robotics software systems.
• Experience with robotics frameworks such as ROS and robot middleware for sensor and controller integration.

Responsibilities

• Design and develop multimodal perception systems for humanoid and multi-arm robots.
• Implement and deploy learning-based manipulation policies for coordinated tasks.
• Build, test, and refine humanoid and multi-arm robotic prototypes for industrial applications.

Skills

Programming skills in Python

Programming skills in C++

Robotics software system development

Multimodal perception systems

ROS frameworks

Education

Bachelor's or Master's degree in Robotics or related fields

Job description

A*STAR - Agency for Science, Technology and Research in Singapore is hiring a Research Engineer/Senior Research Engineer to develop and implement humanoid and multi-arm robotic manipulation systems for industrial tasks. The role requires a Bachelor's or Master's degree in Robotics or a related field, and strong programming skills in Python and/or C++. You'll engage in designing multimodal perception systems, implementing learning-based manipulation policies, and testing robotic prototypes to enhance task success in manufacturing environments.