Mentor, Robotics (Teach, Projects, East, multiple positions - Senior Manager to Assistant Dir)

JONDAVIDSON PTE. LTD.; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

An educational institution in Singapore seeks a Full-Stack Robotics professional officer to join their robotics team. The role requires a solid background in electrical and mechanical engineering, proficiency in ROS, and experience with sensor integration. This strategic position involves managing projects, gathering requirements, and contributing to the development lifecycle. Candidates with a Master’s degree or relevant experience are encouraged to apply.

Qualifications

• Strong foundation in electrical, mechanical, mechatronics, or systems engineering.
• Experience in project with sensor integration and motor control.
• Good programming skills in C, Python, and C++ in Linux.

Responsibilities

• Manage industry project with team to ensure deliverables.
• Gather system requirements and formulate project scope.
• Involve in full development life cycle: design, development, testing.
• Generate technical proposals and design documents.

Skills

Electrical engineering

Mechanical design

Mechatronics

Systems engineering

C programming

Python programming

C++ programming

Sensor integration

Robotics Operating System (ROS)

Reinforcement Learning

Education

Master's degree in Robotics or related field

Bachelor's degree with 8+ years experience

Tools

Oscilloscopes

Multimeters

Version control systems (Git, CVS)

Job description

My client an education institution has multiple positions ranging from Senior Manager to Assistant Director level equivalent. More experience candidate can be considered for a higher position of Deputy Director equivalent.

The division’s 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 professional officer 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 documents

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.

Interested candidates are invited to submit their MS Word formatted CV with the current and expected salary remunerations.

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We regret to inform that only short-listed applicants will be notified.

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