Development Engineer (Autonomous Systems and Robotics), ARTC

Job Description:

We are seeking talented and experienced Robotics Engineer with expertise in robot trajectory planning and mobile robot navigation with proven track record of delivering projects. The candidate will play a pivotal role in developing smart robotic solutions, ensuring they perform efficiently and intelligently. Experience with robot vision and/or ROS 2 (Robot Operating System) is an advantage.

Roles & Responsibilities:

• Design, develop, and implement advanced trajectory planning algorithms to optimize manipulator movements and achieve collision-free motion in various applications. Applying in-depth knowledge of manipulator kinematics to improve motion accuracy, flexibility, and task efficiency for robotic manipulators.
• Design, develop, and implement advanced motion planning algorithms to optimize mobile robot movements.
• Build simulation models to enable seamless collaboration among mobile robots in multi-agent fleet operations.
• Support integration of machine learning techniques, including deep-learning methods, to enhance robot control and decision-making processes, making our robots more adaptable and intelligent.
• Apply computer vision and image processing techniques to improve robot perception and object recognition capabilities.
• Continuously research and implement state-of-the-art algorithms and methodologies to improve robot performance and efficiency.
• Collaborate with cross-functional teams, including hardware engineers, software developers, and researchers, to achieve project goals.
• Maintain detailed documentation of code, algorithms, and project progress, facilitating knowledge sharing within the team.

Requirements:

• Bachelor’s degree or higher in Robotics, Computer Science, Electrical Engineering, or a related field.
• Experience in manipulator trajectory planning and mobile robot navigation.
• Proficiency in programming languages such as Python, C++, or Matlab.
• Strong communication skills to collaborate effectively with colleagues and present technical findings.
• A passion for robotics and a desire to stay updated with the latest developments in the field.
• Strong commitment to solving technical challenges in the field of robotics, approaching obstacles with a positive and determined mindset.
• [Good to have] Experience in open-source machine learning techniques, with knowledge of deep learning frameworks like TensorFlow and/or PyTorch for building and training neural networks.
• [Good to have] Experience in fleet management.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.