Autonomous Systems Engineer: ROS2 Controls & Embedded

TYSON JAY MANAGEMENT PTE. LTD.

Singapore

On-site

SGD 60,000 - 90,000

Full time

10 days ago
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Job summary

Tyson Jay Management Pte Ltd in Singapore seeks a robotics/embedded engineer to design and maintain real-time vehicle-control frameworks using ROS 2. You will develop interfaces between fleet software and vehicle hardware, implement CAN-based control signals, and build diagnostic tools for system health monitoring.

The role involves trajectory-control algorithms, embedded firmware on MCU boards, onsite calibration, testing and collaboration with software, electronics, product and deployment

Qualifications

  • Proficient in C++, embedded C and Python for real-time or multithreaded systems.
  • Hands-on ROS 2 experience in controls, motion planning or navigation.
  • Experience with CAN bus, industrial communication and microcontroller firmware at board level.

Responsibilities

  • Design and maintain real-time vehicle-control frameworks using ROS 2.
  • Develop interfaces between fleet-level software and industrial vehicle hardware.
  • Implement control signals across CAN bus, analogue, relay and digital interfaces.
  • Develop trajectory-control algorithms and local planners for accurate vehicle movement.
  • Build and maintain embedded firmware for microcontroller-based control boards.
  • Create diagnostic tools for monitoring system health and investigating faults.
  • Support onsite calibration, testing, commissioning and performance troubleshooting.
  • Collaborate across software, electronics, product and deployment teams to improve engineering quality and repeatability.

Skills

C++
Embedded C
Python
ROS 2
Board-level firmware

Tools

CAN bus

Job description

Tyson Jay Management Pte Ltd in Singapore seeks a robotics/embedded engineer to design and maintain real-time vehicle-control frameworks using ROS 2. You will develop interfaces between fleet software and vehicle hardware, implement CAN-based control signals, and build diagnostic tools for system health monitoring.

The role involves trajectory-control algorithms, embedded firmware on MCU boards, onsite calibration, testing and collaboration with software, electronics, product and deployment

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