Robotics Software Engineer (ROS-I Embodied AI)

A*STAR - Agency for Science, Technology and Research; Singapore; Vor Ort; SGD 70.000 - 90.000; Vollzeit

Zusammenfassung

A*STAR - Agency for Science, Technology and Research seeks an Embodied AI Engineer to develop next-generation robotic intelligence integrating AI-driven perception and planning. Collaborating with multidisciplinary teams, you will support applied research and development in robotics for advanced manufacturing. The role requires a Bachelor's or Master's degree in Robotics or a related field, strong knowledge in robotics, programming skills in Python and/or C++, and hands-on experience with ROS/ROS2. The position is based in Singapore.

Qualifikationen

• Strong knowledge in kinematics, dynamics, motion planning, and control.
• Interest in robot learning, imitation learning or reinforcement learning.
• Experience in industrial automation or manufacturing environments desired.

Aufgaben

• Support applied R&D in robotic manipulation for advanced manufacturing.
• Assist in conducting experiments to collect and analyze data.
• Contribute to developing ROS-based robotics solutions.

Kenntnisse

Robotics fundamentals

Programming (Python/C++)

Machine learning techniques

Communication skills

Ausbildung

Bachelor or Master degree in Robotics, Computer Science, Mechanical/Electrical Engineering, or related field

Tools

ROS/ROS2

Simulation tools (Gazebo, Isaac Sim)

Deep learning frameworks (PyTorch, TensorFlow)

Jobbeschreibung

Job Description

As an Embodied AI Engineer, you will develop next generation robotic intelligence that tightly integrates AI‑driven perception, planning, and behaviour with real‑world robot embodiment. You will contribute to both research‑driven and deployment‑driven development across ROS 2, advanced simulation environments, and industrial robotic platforms. You will support applied R&D to develop, implement, and test robot learning algorithms that integrate motion planning, force/torque sensing, and multimodal perception. The role includes hands‑on work in designing experiments, analysing results, building prototypes, and contributing to practical robotics solutions for advanced manufacturing. You will collaborate with multidisciplinary teams (researchers, engineers, and industry partners) to bridge research with impactful industrial deployments in areas such as remanufacturing, automation, and smart manufacturing.

Roles & Responsibilities

• Support applied R&D in robotic manipulation, focusing on robotics technologies for advanced manufacturing.
• Assist in designing and conducting experiments to collect, process, and analyse experiment data.
• Apply machine learning and deep learning techniques to improve robot control, adaptability, and decision‑making in real‑world scenarios.
• Contribute to developing and testing functional prototypes and ROS‑based robotics solutions for manufacturing applications.
• Participate in the development and enhancement of ROS‑Industrial capabilities for manipulation and embodied intelligence.
• Support integration of perception tools (e.g., vision, force/torque) to enable better object handling and environmental interaction.
• Stay updated with emerging robotics and AI methodologies, and assist in implementing state‑of‑the‑art approaches to boost performance.
• Work closely with cross‑functional teams, including hardware/software engineers and researchers, to meet project milestones.
• Support technical discussions, documentation, and engagement with industry stakeholders.

Job Requirements

• Bachelor or Master degree in Robotics, Computer Science, Mechanical/Electrical Engineering, Artificial Intelligence, or a related field.
• Strong foundational knowledge in robotics fundamentals, including kinematics, dynamics, motion planning, and control.
• Interest or exposure to robot learning, Learning from Demonstration, imitation learning, reinforcement learning, or Embodied AI concepts.
• Proficiency in programming, especially Python and/or C++.
• Hands‑on experience or strong interest in ROS/ROS2, simulation tools (e.g., Gazebo, Isaac Sim), and robotic hardware platforms.
• Basic familiarity with deep learning frameworks such as PyTorch or TensorFlow is advantageous.
• Understanding of sensors (vision, force/torque) and perception techniques is a plus.
• Experience or interest in industrial automation, manufacturing environments, or contact‑rich manipulation is highly desirable.
• Good communication skills for teamwork, documentation, and presenting ideas/findings.
• Passion for robotics, strong problem‑solving mindset, and eagerness to learn and tackle real‑world technical challenges in a collaborative, innovative environment.