JOB DESCRIPTION
- Designs robotic systems, components, and prototypes.
- Develops software for robot control, navigation, and decision-making.
- Applies Control Systems Engineering and Artificial Intelligence to enable autonomous behaviour.
- Integrates hardware (sensors, actuators) with software systems.
- Ensures smooth communication between embedded systems and the Yard Digital Twin.
- Utilises tools such as ROS (Robot Operating System).
- Tests robotic systems in simulations and real-world environments.
- Identifies bugs, performance issues, and safety risks.
- Validates functionality, accuracy, and reliability.
- Diagnoses mechanical, electrical, and software issues.
- Improves system efficiency, speed, and precision.
- Optimises algorithms for real-time performance.
- Develops perception systems using cameras, LiDAR, and related technologies.
- Applies Computer Vision techniques.
- Builds intelligent behaviours using Artificial Intelligence.
- Collaborates with cross-functional teams (mechanical, electrical, software).
- Communicates with product managers and stakeholders (security, safety, operations).
- Participates in design reviews and planning sessions.
- Deploys robots in production or operational environments.
- Monitors performance and maintains systems.
- Provides updates, patches, and continuous improvements.
JOB REQUIREMENTS
- Holds a Bachelor’s degree in Robotics, Mechatronics Engineering, Electrical Engineering, Computer Science, or a related discipline.
- Experience in robotics projects (e.g., university labs, competitions, or personal builds).
- Strong proficiency in programming languages such as C++ and Python for building and controlling robotic systems.
- Basic knowledge of robot simulation tools (e.g., Nvidia Isaac Lab).
- Familiarity with microcontrollers (e.g., Arduino, Raspberry Pi).
- Experience with robotic frameworks (e.g., ROS, Open-RMF).
- Strong involvement in system integration, combining hardware and software components.
- Proven experience in testing and debugging robotic systems in real-world environments.
- Good understanding of kinematics, dynamics, and path planning for robotic movement.
- Ability to design feedback loops using Control Systems Engineering principles.
- Experience in using sensors and applying Computer Vision and Artificial Intelligence for decision-making.
- Exposure to Computer Vision, Control Systems Engineering, and VLA/VLM integration.
- Ability to integrate hardware and software into fully functional systems and troubleshoot issues efficiently.
Location:
Pioneer Yard
50 Gul Road, Singapore 629351
(Islandwide transport provided)
Working Hours:
Monday – Thursday: 8:00am – 5.15pm
Friday: 8:00am – 4.30pm
Interested candidates are invited to send us an updated resume with your current and expected salary and earliest availability.
We regret that only shortlisted candidates will be notified.
Please note that your personal data disclosed to Seatrium Limited and our group of companies, shall be used for the purposes of evaluation, and processing in accordance with our recruitment processes and policies. By providing your personal data, you have consented to the aforesaid purpose under the provisions of the Personal Data Protection Act 2012.
BUSINESS UNIT
Seatrium Limited
