Permanent Robotics Software Engineer (Sensor & Perception Integration) at Ang Mo Kio , Up to $6,000 (Office hours)

SUCCESS RESOURCE CENTRE PTE. LTD.; Singapore; On-site; SGD 61,000 - 73,000; Full time

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

- Permanent

- Up to $6,000

- Mon-Fri: 8.30am-5pm

- Ang Mo Kio

Role Summary:

Responsible for developing and integrating robotics software, computer vision/edge AI and sensor technologies to transform sensor data into reliable operational information. The role focuses on bringing perception capabilities from prototype stage into deployable product functions and covers robotics software, perception, edge deployment and sensor integration rather than pure AI research or data science.

Key Responsibilities:

• Develop robotics and edge software using C++ and Python on Linux-based platforms, including NVIDIA Jetson where applicable.
• Integrate EO/IR cameras and other sensors through SDKs, APIs, network interfaces and real-time video pipelines.
• Develop and productionise computer vision capabilities including detection, classification and multi-object tracking.
• Optimise AI inference for edge deployment using technologies such as OpenCV, ONNX, TensorRT/CUDA or equivalent.
• Integrate perception outputs with AST tracking, PTZ cueing, operator workflows and external C2 interfaces.
• Support future multi-sensor integration involving AIS, radar, thermal and other sensing modalities.
• Contribute to emerging capabilities in sensor fusion, multimodal AI, behaviour/event analytics and intelligent sensor orchestration.
• Support system integration, testing, field trials, troubleshooting, reliability improvement and technical documentation.

Period:

• Permanent

Location:

• Ang Mo Kio

Working Hours:

• Monday – Friday, 8.30am – 5pm

Salary:

• Up to $6,000

Job Requirements:

• Degree in Computer Science, Computer/Electrical Engineering, Robotics, Mechatronics or related discipline.
• Strong foundation in C++ and Python, with Linux development and debugging experience.
• Hands-on experience in one or more of the following: robotics, computer vision, edge AI, camera/sensor integration, embedded or edge systems.
• Comfortable troubleshooting across software, networking and physical hardware interfaces.
• Experience with NVIDIA Jetson, OpenCV, GStreamer/RTSP, TensorRT/ONNX and ROS/ROS2 would be advantageous.
• Candidates with strong relevant project, internship or practical engineering experience may also be considered.
• Capability and hands-on technical evidence are more important than years of experience alone.
• Fresh grads with relevant internship and project experience are welcome to apply

Other Remarks:

• Work closely engineering team across systems architecture, software platform and controls, edge systems/sensor data, verification and field deployment.
• Primary focus is to strengthen the team's capabilities in perception, applied AI and sensor-robotics software.