Smart Logistic Engineers

ParagonCorp; Shah Alam; Presencial; MYR 120 000 - 180 000; Tempo integral

Resumo da oferta

ParagonCorp is seeking a Smart Logistics Engineer to own autonomous navigation and mobility across its fleet of Autonomous Mobile Robots. You will work across robotics software, hardware, perception, navigation, and field operations to deploy scalable AMR systems in real-world environments.

The role focuses on designing navigation systems, tuning software in C++ and Python, and integrating sensors like LiDAR and cameras for reliable robot operation.

Qualificações

• Bachelor’s or Master’s degree in Robotics, Mechatronics, Computer Science, Engineering, or related field.
• 4+ years hands-on experience in robotics, autonomous systems, or mobile robotics.
• Strong C++ and Python skills with practical ROS/ROS2 experience.
• Solid experience in SLAM, localization, path planning, obstacle avoidance, and sensor integration.

Responsabilidades

• Design and improve robot navigation, localization, mapping, path planning, and obstacle avoidance systems.
• Develop and tune robotics software using C++, Python, and ROS/ROS2.
• Integrate and optimize sensors including LiDAR, cameras, IMU, and wheel odometry.
• Troubleshoot and improve robot performance through data analysis, simulation, and field testing.
• Support AMR deployment, calibration, and commissioning in real-world environments.
• Work on multi-robot coordination, fleet management, and safe robot operation.
• Build reusable tools and engineering practices to improve future robot deployments.
• Collaborate with hardware, software, operations, vendors, and engineering teams.

Conhecimentos

C++

Python

ROS/ROS2

SLAM

Localization

Path planning

Obstacle avoidance

Problem solving

Cross-functional collaboration

Formação académica

Bachelor’s or Master’s degree in Robotics/Mechatronics/Computer Science/Engineering

Ferramentas

LiDAR

Cameras

IMU

Wheel odometry

Descrição da oferta de emprego

We are looking for an Smart Logistic Engineers to take technical ownership of autonomous navigation and mobility across our fleet of Autonomous Mobile Robots. You will work across robotics software, hardware, perception, navigation, and field operations to develop, deploy, and scale reliable AMR systems in real-world environments.

What You’ll Do

• Design and improve robot navigation, localization, mapping, path planning, and obstacle avoidance systems.
• Develop and tune robotics software using C++, Python, and ROS/ROS2.
• Integrate and optimize sensors including LiDAR, cameras, IMU, and wheel odometry.
• Troubleshoot and improve robot performance through data analysis, simulation, and field testing.
• Support AMR deployment, calibration, and commissioning in real-world environments.
• Work on multi-robot coordination, fleet management, and safe robot operation.
• Build reusable tools and engineering practices to improve future robot deployments.
• Collaborate with hardware, software, operations, vendors, and engineering teams.

What We’re Looking For

• Bachelor’s or Master’s degree in Robotics, Mechatronics, Computer Science, Engineering, or a related field.
• 4+ years of hands-on experience in robotics, autonomous systems, or mobile robotics.
• Strong C++ and Python skills with practical ROS/ROS2 experience.
• Solid experience in SLAM, localization, path planning, obstacle avoidance, and sensor integration.
• Hands-on experience with LiDAR, cameras, IMU, or wheel odometry.
• Experience deploying and troubleshooting robots in real-world environments.
• Strong problem-solving skills and ability to work across hardware, software, and operations.