Autonomous Drone Swarm Engineer (GPS-Denied)

Roboticsconnected; Singapore; In loco; SGD 80.000 - 120.000; Tempo pieno

Descrizione del lavoro

NTU Singapore seeks a Research Engineer to develop and integrate hardware and software for autonomous drone swarms operating in GPS-denied environments. You will design onboard sensing, localization, navigation, and control systems for coordinated multirotor operations and validate through simulations and real-world flight tests.

The role requires hands-on experience with ROS/ROS 2, Gazebo, AirSim, and MAVLink, plus a strong systems integration mindset and collaboration with researchers and

Competenze

• Bachelor’s or Master’s degree in Aerospace, Electrical/Mechanical/Computer Engineering, Robotics, or related field.
• Strong background in autonomous systems and unmanned aerial vehicles.
• Experience with ROS/ROS 2, Gazebo, AirSim, or similar.
• Hands-on hardware-software integration and flight testing.
• Excellent communication and ability to work with multi-disciplinary teams.

Mansioni

• Develop hardware and software architectures for GPS-denied drone swarms.
• Implement onboard sensing, localization, navigation, and flight-control systems.
• Research and implement swarm coordination and multi-agent path planning.
• Perform simulations, HIL testing, and flight experiments to evaluate robustness.
• Document results and contribute to technical reports and publications.

Conoscenze

Autonomous drones

Drone swarms

C++

Python

ROS/ROS 2

Localization

Path planning

Sensor fusion

System integration

Formazione

Bachelor's/Master's in Engineering

Strumenti

Gazebo

AirSim

PX4

ArduPilot

MAVLink

Embedded hardware

Descrizione del lavoro

NTU Singapore seeks a Research Engineer to develop and integrate hardware and software for autonomous drone swarms operating in GPS-denied environments. You will design onboard sensing, localization, navigation, and control systems for coordinated multirotor operations and validate through simulations and real-world flight tests.

The role requires hands-on experience with ROS/ROS 2, Gazebo, AirSim, and MAVLink, plus a strong systems integration mindset and collaboration with researchers and