Autonomous Driving & Robotics Engineer — Full-time

About the role

This is a hands-on role spanning ROS software, SLAM, AI-based autonomy, sensors, system integration, and field testing. You should be comfortable working on physical robots, investigating unexpected behaviour, and communicating technical findings clearly.

Key responsibilities

• Develop, integrate, and maintain robotics software using ROS1 and ROS2 for autonomous mobile robots and driving platforms.
• Build and improve localization, mapping, perception, planning, and control for indoor and outdoor operation.
• Develop, integrate, and evaluate SLAM and AI-based autonomous driving methods in real operating environments.
• Integrate and calibrate LiDAR, cameras, GNSS, IMUs, encoders, and other sensors.
• Deploy robots and autonomous driving systems at test and customer sites against safety, reliability, and performance requirements.
• Plan and conduct field tests; collect data, analyse logs, reproduce failures, and validate fixes on physical robots.
• Diagnose software, networking, compute, sensor, electrical, and mechanical integration problems.
• Write maintainable Python and C++ code, launch configurations, tests, documentation, and deployment procedures.
• Collaborate with engineering, product, and field operations teams during development, demonstrations, and commercial deployments.
• Take ownership of technical work from investigation through implementation, field validation, and documentation.

About you

• A Bachelor's, Master's, or Doctoral degree in Robotics, Mechatronics, Electrical, Electronic, Mechanical or Computer Engineering, Computer Science, or a related discipline.
• At least one year of relevant experience in robotics, autonomous vehicles, mobile robots, or a closely related field.
• Demonstrated experience beyond simulation, including integration, deployment, testing, or troubleshooting on physical robots or autonomous vehicles.
• Practical ROS1 and/or ROS2 experience, including packages, topics, services, actions, launch systems, TF, bags, and debugging tools.
• Ability to program in Python and/or C++ on Linux or Ubuntu.
• Working knowledge of SLAM, localization, navigation, path planning, perception, sensor fusion, or autonomous control.
• Legal eligibility to work in Malaysia and professional English communication.