Research Engineer II - Self-Driving Vehicles & Robotics

About the role

The Energy Research Institute @ NTU (ERI@N), a pan-university research institute founded in 2010 focused on systems-level research for tropical megacities, is hiring a software engineer for its Future Mobility Solutions research program. The successful candidate will develop, test and fine-tune software for self-driving vehicles, from utility vehicles such as buggies and road sweepers to public road vehicles, contributing to autonomous driving technologies and robotics.

Key responsibilities

• Develop, test and fine-tune software for autonomous robots and vehicles across different platforms, working on C++ and Python code in Linux systems
• Process and analyse sensor data, including LIDAR and camera inputs, for robotics and automation applications
• Conduct outdoor vehicle trials to validate perception and navigation algorithms and self-driving systems
• Collaborate with the team to improve and optimise autonomous vehicle performance for real-world conditions
• Participate in vehicle data collection and help refine software to meet project deliverables
• Implement object recognition and tracking models such as YOLO, integrating them into the software stack to improve path planning, navigation, decision-making and obstacle avoidance
• Support assessment methodologies for AV safety, and prepare technical reports, white papers and presentations

Required profile

• Bachelor's or Master's degree in Computer Science, Robotics, Automation or a related field
• Background in robotics and automation
• Experience with outdoor testing, data collection and validation of perception and navigation algorithms

Required skills

• Proficiency in C++, Python and Linux systems
• Familiarity with ROS or ROS2 environments
• Understanding of LIDAR and camera sensor data processing, and of INS (GNSS-IMU), RADAR and ultrasonic sensors
• Beneficial: experience with open-source platforms such as Autoware or Apollo, and with computer vision and YOLO-based object detection