Research Engineer, Interoperable Robotic Systems, ARTC

Roles and Responsibilities:

• Research and develop robotic software packages and tools for industrial applications using the ROS framework, including capabilities in Robotics Middleware Framework (RMF) multi-agent path planning, simulator design, perception, and motion planning. Drive application-oriented robotic research towards industrial automation using ROS 2.
• Architect and develop software solutions and core algorithms for interoperable multi-agent and multi-robot systems, focusing on coordination, scheduling optimisation, task assignment, and traffic deconfliction.
• Implement systems engineering approaches by translating business requirements into system requirements and validation methodologies, and develop software testing and validation strategies in accordance with industry standards.
• Execute technical projects, including planning, technical documentation, write-ups, and presentations.

Qualification & field of study: Degree in Robotics Engineering, Software Engineering, Computer Engineering, Electrical Engineering or Computer Science or equivalent.

Min. years of experience: 1-3 years.

Essential Skills & Experience:

• Proficiency in C++ and Python programming.
• Experience with the Software Development Lifecycle (SDLC).
• Experience with CI/CD pipelines and containerization (e.g., Docker, Kubernetes).
• Experience with ROS2 and its ecosystem.
• Proficiency with Git version control.
• Knowledge of robotics concepts including manipulation, navigation, fleet management, and/or simulation.
• Experience with software systems integration, including architecture and communication protocols.
• Experience with networked systems design and implementation.

Desired Skills & Experience:

• Experience applying or researching AI technologies in robotics.
• Experience managing stakeholders from requirements gathering to deployment.
• Web development experience (e.g., using common frameworks).
• Experience with specific robotics algorithms (e.g., scheduling optimisation, task assignment, traffic deconfliction).
• Experience in machine learning.
• Strong systems design skills.
• Experience developing software solutions using ROS libraries.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.