Lead (Robotics)

Seatrium Digital Pte. Ltd.; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

Seatrium Digital Pte. Ltd. is seeking a Robotics Engineer who will design and develop robotic systems and components while leveraging Control Systems Engineering and Artificial Intelligence. The role involves collaborating across teams and focusing on system efficiency, utilizing skills in programming and robotics frameworks.

The ideal candidate will possess a Bachelor's degree in a relevant field, with strong experience in C++ and Python, and a robust understanding of robotic simulation and integration tools. This position offers an opportunity to work in dynamic environments and contribute to innovative projects.

Qualifications

• Experience in robotics projects such as university labs, competitions, or personal builds.
• Proven experience in testing and debugging robotic systems in real-world environments.
• Ability to design feedback loops using Control Systems Engineering principles.

Responsibilities

• Design robotic systems, components, and prototypes.
• Develop software for robot control and decision-making.
• Integrate hardware with software systems.
• Test robotic systems in simulations and real-world environments.

Skills

C++ programming

Python programming

Robotics frameworks (e.g., ROS, Open-RMF)

Computer vision techniques

Control Systems Engineering

System integration

Kinematics and dynamics understanding

Experience with sensors

Education

Bachelor's degree in Robotics, Mechatronics Engineering, Electrical Engineering, Computer Science, or a related discipline

Tools

ROS (Robot Operating System)

Nvidia Isaac Lab

Microcontrollers (e.g., Arduino, Raspberry Pi)

Job description

Robotics Engineer – Job Description

Design robotic systems, components, and prototypes. Develop software for robot control, navigation, and decision‑making. Apply Control Systems Engineering and Artificial Intelligence to enable autonomous behaviour. Integrate hardware (sensors, actuators) with software systems and ensure smooth communication between embedded systems and the Yard Digital Twin. Utilize tools such as ROS (Robot Operating System). Test robotic systems in simulations and real‑world environments, identify bugs, performance issues, and safety risks, and validate functionality, accuracy, and reliability. Diagnose mechanical, electrical, and software issues, improve system efficiency, speed, and precision, and optimize algorithms for real‑time performance. Develop perception systems using cameras, LiDAR, and related technologies, apply computer vision techniques, and build intelligent behaviours using artificial intelligence. Collaborate with cross‑functional teams (mechanical, electrical, software), communicate with product managers and stakeholders (security, safety, operations), participate in design reviews and planning sessions, deploy robots in production or operational environments, monitor performance, maintain systems, and provide updates, patches, and continuous improvements.

Job Requirements

• Hold 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) and 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.