Research Engineer (Robotics Software Development), ARTC

Job Description

Experience with robotic vision is an advantage.

• Lead discussions with stakeholders to holistically understand problem statements, requirements, and expectations.
• Design, develop, and implement advanced trajectory planning algorithms to optimize robot movements and achieve collision-free motion in various applications.
• Apply machine learning techniques, including deep-learning methods, to enhance robot control and decision-making processes, making our robots more adaptable and intelligent.
• If applicable, leverage 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.
• 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.

• Bachelor's degree or higher in Robotics, Computer Science, Electrical Engineering, or a related field.
• 3 Years of experience
• Experience in robot trajectory planning and machine learning, with a strong portfolio of relevant projects.
• Proficiency in programming languages such as Python, C++, or Matlab.
• Experience in software development, including version control and continuous integration techniques.
• Knowledge of deep learning frameworks for building and training deep learning models.
• Experience in ROS has a good advantage
• 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.

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.