Research Engineer II (Computer Science / Robotics / Automation)

Nanyang Technological University; Singapore; On-site; SGD 70,000 - 120,000; Full time

Job summary

NTU Singapore's Energy Research Institute @ NTU (ERI@N) seeks a software engineer to develop, test, and fine-tune software for self-driving vehicles and robotics. You will work with ROS/ROS2 frameworks, Autoware/Apollo, and vision systems to process LIDAR/camera data and optimize algorithms for real-world deployments.

The role involves outdoor trials, sensor fusion, benchmarking, and contributing to AV safety assessments and technical reports within the Future Mobility Solutions program.

Qualifications

• Proficient in C++, Python and Linux
• Familiar with ROS/ROS2 environments
• Experience with sensor data processing (LIDAR, camera; other sensors like INS, RADAR, Ultrasonic)
• Outdoor testing and validation of self-driving algorithms

Responsibilities

• Develop, test, and fine-tune software for autonomous vehicles and robotics
• Process and analyze sensor data for robotics and automation applications
• Conduct outdoor vehicle trials for testing and validation of perception, navigation algorithms
• Collaborate to improve performance of the autonomous vehicle system for real-world conditions
• Implement object recognition and tracking models (e.g., YOLO) and integrate into the software stack

Skills

C++

Python

Linux

Education

Bachelors/Masters in CS/Robotics

Tools

ROS/ROS2

Autoware

Apollo

YOLO

TensorRT

Job description

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian

Our department is seeking to hire a software engineer with experience in C++, Python, and Linux systems to join the Future Mobility Solutions research program. The successful candidate will work on the development, testing, and fine-tuning of self-driving vehicles, ranging from utility vehicles like buggies and road sweepers to public road vehicles. This role will contribute to advancing the autonomous driving technologies and robotics by supporting software development, vehicle trials and data processing. The role will also support the development of assessment methodologies for AV safety across various operational domains and preparation of technical reports, white papers, and presentations.

Key Responsibilities:

• Work on C++ and Python codes for software development in linux systems
• Familiar with ROS & ROS2 for building autonomous or robotics systems
• Beneficial if familiar with open-source platforms like Autoware or Apollo for self-driving systems
• Develop, test, and fine-tune software for autonomous robots and vehicles across different platforms.
• Process and analyze sensor data, including LIDAR and camera inputs, for robotics and automation applications.
• Conduct outdoor vehicle trials for testing and validation of perception, navigation algorithms, and self-driving systems.
• Collaborate with team on improving and optimizing the performance of the autonomous vehicle system for real-world conditions.
• Participate in vehicle data collection activities and help refine software to meet project deliverables.
• Engage in software development and troubleshooting using ROS/ROS2 frameworks.
• Work on implementing object recognition and tracking models, such as YOLO, including optimizing model performance with tools like TensorRT
• Implement object recognition and tracking models, such as YOLO or similar frameworks, and integrate them into the existing autonomous software stack to enhance path planning and navigation, ensuring improved decision-making and obstacle avoidance.

Job Requirements:

Background in robotics and automation.

Education: Bachelor’s or Master’s degree in Computer Science, Robotics, Automation, or a related field.

Minimum Knowledge and Skills:

• Proficient in C++, Python, and Linux systems
• Familiar with ROS or ROS2 environments
• Strong understanding of LIDAR and camera sensor data processing for robotics and automation (and other sensors such as INS (GNSS-IMU), RADARs and Ultra-sonic sensors).
• Experience with outdoor testing, data collection, and validation of algorithms used in self-driving applications such as perception and navigation algorithms.

Beneficial Experience:

• Prior work on open-source autonomous driving platforms such as Autoware or Apollo.
• Familiarity with computer vision and experience implementing image / object recognition systems, such as YOLO, for real-time object detection and classification.

We regret to inform that only shortlisted candidates will be notified.

Hiring Institution:

NTU A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, & Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N). Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district. Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources.

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