Robotics Software Engineer - Perception & Edge AI

SUCCESS RESOURCE CENTRE PTE. LTD.

Singapore

On-site

SGD 61,000 - 73,000

Full time

4 days ago
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Job summary

SUCCESS RESOURCE CENTRE PTE. LTD. seeks a capable engineer to develop robotics and edge AI software for perception and sensor integration on Linux platforms, including NVIDIA Jetson.

You will work across perception, edge deployment and sensor fusion, bringing prototype capabilities into deployable products. The role emphasizes hands-on robotics and computer vision with real-time sensor data, plus collaboration with engineering teams to verify field performance.

Qualifications

  • Degree in CS/Engineering/Robotics or related field.
  • Strong C++ and Python with Linux development experience.
  • Hands-on robotics, computer vision, edge AI or sensor integration.
  • Experience with NVIDIA Jetson and ROS is advantageous.
  • Fresh grads with project experience welcome.

Responsibilities

  • Develop robotics and edge software on Linux, including Jetson.
  • Integrate cameras and sensors via SDKs, APIs and real-time pipelines.
  • Develop computer vision capabilities: detection, classification, multi-object tracking.
  • Optimize AI inference for edge deployment with OpenCV, ONNX, TensorRT/CUDA.
  • Support system integration, testing, field trials and documentation.

Skills

C++
Python
Linux
NVIDIA Jetson
Robotics
Computer vision
Edge AI
Camera integration
ROS ROS2
OpenCV
TensorRT ONNX

Education

Bachelor's degree in CS/Engineering/Robotics

Tools

OpenCV
GStreamer
ROS ROS2
TensorRT ONNX
NVIDIA Jetson
RTSP

Job description

SUCCESS RESOURCE CENTRE PTE. LTD. seeks a capable engineer to develop robotics and edge AI software for perception and sensor integration on Linux platforms, including NVIDIA Jetson.

You will work across perception, edge deployment and sensor fusion, bringing prototype capabilities into deployable products. The role emphasizes hands-on robotics and computer vision with real-time sensor data, plus collaboration with engineering teams to verify field performance.

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