Real-Time Computer Vision Engineer for Advanced Systems

DSO National Laboratories; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

DSO National Laboratories is seeking a Computer Vision Engineer in Singapore to design and implement computer vision algorithms for camera systems. You will develop and optimise software for real-time image processing and train models for object detection, applying compression techniques to enhance performance.

You will test system performance using an in-house Hardware-in-the-loop facility and collaborate with a multidisciplinary team to integrate CV solutions into SAF defence systems.

Qualifications

• Degree/Masters/PhD in Computer Science or Electrical & Electronic Engineering.
• Strong understanding of image processing and computer vision concepts.
• Experience with C++ and Python preferred; OpenCV experience preferred.
• Strong communication skills, both verbal and written.

Responsibilities

• Design and implement computer vision algorithms for camera systems.
• Develop and optimise software for real-time image processing.
• Develop and train models for object detection.
• Apply compression techniques to optimise performance and efficiency.
• Design and conduct experiments to test system performance using an in-house Hardware-in-the-loop facility.
• Work with a multi-discipline team to integrate computer vision solutions into systems to evaluate its performance.

Skills

C++

Python

Image processing

Communication skills

Education

Degree/Masters/PhD in Computer Science or Electrical & Electronic Engineering

Tools

OpenCV

Job description

DSO National Laboratories is seeking a Computer Vision Engineer in Singapore to design and implement computer vision algorithms for camera systems. You will develop and optimise software for real-time image processing and train models for object detection, applying compression techniques to enhance performance.

You will test system performance using an in-house Hardware-in-the-loop facility and collaborate with a multidisciplinary team to integrate CV solutions into SAF defence systems.