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Navigation Engineer (Robotics)

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Onsite

Navigation Engineer (Robotics)

DSO National Laboratories

Navigation Engineer (Robotics)

Skills

PythonMATLABR

1 month ago

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Important information


Contract type:

Permanent

Location:

Singapore

Work mode:

Onsite

Published on:

11 September 2026

What they need


DSO National Laboratories (DSO) is Singapore’s largest defence research and development (R&D) organisation, with the critical mission to develop technological solutions to sharpen the cutting edge of Singapore's national security. At DSO, you will develop more than just a career. This is where you will make a real impact and shape the future of defence across the spectrum of air, land, sea, space and cyberspace.

The Robotics Division focuses on the research and development of advanced robotic systems and technologies across the air, land and maritime domains. These include aerodynamics, autonomy, platform control, guidance and navigation technologies.

People are DSO’s greatest asset. You will get to realise your career aspirations and develop your own niche either as a deep technical expert or a leader in the team. With frequent career dialogues and a robust training and development framework, we will provide you with the necessary development tools for you to reach your potential. You will also be recognised and rewarded through competitive remuneration packages and scholarship opportunities.

Navigation Engineer (Robotics)

In This Role, You Will

  • Design and develop real-time navigation system for aerial robotic systems.
  • Conduct testing as a project team member to evaluate system performance.
  • Support project transition and integration of algorithms from exploratory design to a full operational system.

Job Requirements

  • Master's or Bachelor's degree in Electrical & Electronics Engineering, Electrical Engineering, Aerospace Engineering, Robotics Systems or a related discipline
  • Strong foundation in mathematics, especially in the areas of linear algebra, calculus, geometry and statistics
  • Familiar with electronic system hardware, sensor fusion, optimisation algorithms and radio frequency theory
  • Knowledge in simulation and embedded systems design
  • Proficiency in MATLAB, C,C++ and/or Python

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