"Full-Stack Robotics PO"

Job Purpose:

The POD robotics team is building up 3 specific domains capabilities to meet complex industry demands that spans across hardware, software, and AI. Adding a Full-Stack Robotics PO would add to the capability of the robotics team. This role will establish our technical standards by leveraging ROS2 and RMF to build standardised, reusable middleware for multi-robot coordination and fleet management as we embark to integrate with JTC ODP and enable center for conducting the testing certification at PDD when the sandbox is established.

Knowledge of Embodied AI (SLAM, Reinforced Learning) is also critical for developing shared, plug-and-play autonomy capabilities that drastically accelerate project development speed. With a strong foundation in Mechatronics, this individual guarantee hardware-software integrity and mitigates technical risk by prototyping and troubleshooting physical components in-house. Recruiting this role is a strategic necessity to fuse these disparate domains, allowing the team to deliver robust, standardised modules and support our applied research portfolio.

Key Responsibilities

• Participate and manage the industry project with Principal Investigator (PI), Co-PI and team members to ensure all project deliverables are met
• Involve in customer engagements, includes gathering of systems requirements and formulate scope
• Involve in the full development life cycle, i.e., design, development, and testing
• Generate technical proposals, design documents, test document

Job Requirements

• Strong foundation in electrical engineering, mechanical design, mechatronics or systems engineering
• Project experience with sensor integration (e.g., LiDAR, cameras, IMUs), actuators, and motor control
• Experience in ROS (Robotics Operating System) or ROS 2, including package creation, message passing, and launch configuration.
• Experience with Robotics Middleware Framework (RMF) for multi-robot system coordination, fleet management, and interoperability is highly desirable.
• Proficiency in PCB design/prototyping, troubleshooting hardware issues, and using lab equipment (oscilloscopes, multimeters, etc.) will be an added advantage.
• Good programming skills in C, Python and/or C++ in a Linux environment (e.g. Ubuntu)
• Experience with version control systems (e.g., Git or CVS).
• Knowledge and some practical experience in areas such as Reinforcement Learning (RL), imitation learning, motion planning, computer vision, or SLAM (Simultaneous Localization and Mapping) as applied to physical robotic agents will be an added advantage.
• A Master's degree (or a Bachelor's degree with 8+ years of relevant experience) in Robotics, Computer Science, Electrical Engineering or a closely related field.