AI-Robotics Engineer

DSTA; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

DSTA is seeking an AI-Robotics engineer to advance autonomous systems for multi-robot reconnaissance in complex terrain. You will work with engineers and researchers to develop and apply AI and robotics for real-world defence challenges, contributing to state-of-the-art autonomy through software and hardware integration.

Responsibilities include SLAM, autonomous path planning, sensor data processing, and cross-disciplinary collaboration.

Qualifications

• Experience in robotics development with both software and hardware integration.
• Strong background in C++ and robotics software development.
• Familiarity with ROS/ROS2, robotics simulation, version control (Git), and Docker is advantageous.

Responsibilities

• Architect, develop, and test multi-robot exploration capabilities including sensor data processing and SLAM.
• Implement and optimize ML models and robotics software on unmanned platforms.
• Lead software and hardware integration, conducting simulations and field trials.
• Drive continuous innovation in AI and robotics tooling.
• Collaborate across a multidisciplinary team in a defence tech context.

Skills

C++

Python

CUDA

Rust

ROS/ROS2

SLAM

Path planning

Machine learning

Git

Docker

Tools

Git

Docker

ROS/ROS2

Job description

At DSTA, we pioneer the development of AI-enabled autonomous systems that address complex mission challenges, advancing Singapore’s defence capabilities. As part of our team, you will be at the forefront of creating innovative solutions, collaborating with top-tier experts from industry, academia, and within Singapore’s Defence Technology Community. Join us in shaping the future of defence technology and achieve your potential in an environment that fosters growth, learning, and innovation.

Learn more about our work at our Medium Blog.

Opportunity

We are seeking an AI-Robotics engineer to join our team, where you will work alongside a multidisciplinary group of engineers and researchers. We are looking for forward-thinking innovators who are passionate about developing and applying AI and robotics technologies to real-world challenges. Your work will directly contribute to the advancement of autonomous systems for multi-robot reconnaissance in complex terrain – pushing the boundaries of applied R&D in autonomy.

Key Responsibilities

• Design & Development: Architect, develop, and test multi-robot exploration capabilities, including sensor data processing, simultaneous localisation and mapping (SLAM), and autonomous path planning.
• Machine Learning & Robotics Integration: Implement and optimise machine learning models and robotics software on unmanned vehicle platforms, primarily using C++, CUDA, or Rust (Python as an additional option).
• System Integration & Testing: Lead software & hardware integration, ensuring seamless operation of robotic systems. Conduct comprehensive testing, from simulations to field trials, both locally and internationally.
• Continuous Innovation: Drive the continuous improvement of AI & robotics development tools and methodologies to stay at the cutting edge of technology.
• Edge Robotics Applications: Contribute to software and AI Engineering for edge robotics, focusing on real-time decision-making and system efficiency.
• Research and Development: Stay abreast of advancements in areas such robotics, networking, computer vision, cybersecurity, human-robot interaction, assured autonomy, robotics systems integration, swarm intelligence, and much more.
• Robotics-grounded tinkerers hailing from, but not limited to, Computer Engineering, Computer Science, EE/EEE, Mechatronics.
• Resourceful and unyielding self-starters who thrive in an ambiguous environment, with passion for taking ideas from concept to fruition.
• Hands-on experience in robotics development, including both software and hardware integration.
• A team player who values clean code, robust documentation, and effective communication.
• An eager learner who is committed to upskilling and sharing knowledge to elevate the team’s performance.
• Ability to influence and lead technical discussions, driving programme success through effective communication and technical expertise.
• Familiarity with ROS/ROS2, robotics simulation, version control (Git), and Docker will be advantageous.