(Senior) Research Engineer (Autonomous Systems and Robotics), ARTC

Job Description We are seeking a talented and experienced Robotics Engineer to join our team. As a Robotics Engineer, you will be responsible for developing and implementing innovative robotic solutions, specializing in Embodied AI for robotics, with a focus on enabling safe and anticipatory human-robot collaboration (HRC). You will collaborate with cross-functional teams, research new technologies, and ensure optimal performance of robotic systems. A strong understanding of robotics principles, programming skills, and a passion for creating cutting-edge solutions are essential. Experience with robot vision and/or ROS2 (Robot Operating System), and working in semicon equipment sector is an advantage. Roles & Responsibilities Develop and implement Embodied AI algorithms for safe and anticipatory human-robot collaboration. Implement safety-aware control and motion planning strategies for close-proximity human-robot interaction. Integrate perception, learning, and control modules into robotic systems for real-world testing and validation. If applicable, leverage computer vision to improve robot perception and object recognition capabilities. Conduct experiments to evaluate system safety, performance, and reliability in collaborative environments. 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. Job Requirements Bachelor degree or higher in Robotics, Computer Science, Electrical Engineering, or a related field. Strong foundation in robotics, AI, or control systems. Experience or knowledge in one or more of the following areas: Embodied AI and robot learning Safety-aware motion planning and control Proximity sensing and dynamic obstacle avoidance Multimodal perception Proficiency in programming languages such as Python, C++, or Matlab Experience in software development, including version control and debugging techniques Experience in industrial or manufacturing robotics environments. Knowledge of deep learning frameworks like TensorFlow and/or PyTorch. 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.