Autonomy & Robotics AI Engineer

Defence Science and Technology Agency

Singapore

On-site

SGD 80,000 - 140,000

Full time

4 days ago
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Job summary

Defence Science and Technology Agency is seeking a forward-looking Robotics-AI engineer to develop autonomy technologies for real-world challenges. You will design, integrate and deploy AI-driven autonomy capabilities for autonomous platforms operating in complex environments, and contribute to field experiments and deployments.

The role involves leading perception, navigation, multi-robot coordination and learning-based robotics, with collaboration across robotics, AI and systems engineering

Qualifications

  • Degree/Masters in Robotics, AI, CS, Computer Engineering or related discipline.

Responsibilities

  • Design and develop capabilities in areas such as perception, localisation, mapping, navigation and mission autonomy.
  • Explore and apply AI (deep learning, reinforcement learning and foundation-model-based approaches) to robotics problems.
  • Lead software & hardware integration, ensuring seamless operation of robotic systems; conduct testing from simulations to field trials, locally and internationally.
  • Analyse autonomy stack and algorithm performance to improve robustness, reliability and real-time performance of autonomous behaviours.
  • Collaborate with leading researchers globally, translating research breakthroughs into deployable robotics capabilities.

Skills

Robotics development
ROS 2
Simulation platforms
Python/C++
Communication skills
Curiosity/learning mindset

Education

Degree/Masters in Robotics/AI/CS/CE

Tools

ROS 2
Simulation platforms

Job description

Defence Science and Technology Agency is seeking a forward-looking Robotics-AI engineer to develop autonomy technologies for real-world challenges. You will design, integrate and deploy AI-driven autonomy capabilities for autonomous platforms operating in complex environments, and contribute to field experiments and deployments.

The role involves leading perception, navigation, multi-robot coordination and learning-based robotics, with collaboration across robotics, AI and systems engineering

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