DSO National Laboratories

Computer Vision Engineer

DSO National Laboratories
Defense R&DSingaporeFull-time1 months ago

About the role

AI summarised

Computer Vision Engineer role requiring strong understanding of image processing and computer vision concepts, with experience in C++, Python, and OpenCV preferred. The role involves developing computer vision solutions and requires strong communication skills.

Defense R&DFull-timeAccounting

Key Responsibilities

  • DSO National Laboratories (DSO) is Singapore’s largest defence research and development (R&D) organisation, with the critical mission to develop technological solutions to sharpen the cutting edge of Singapore's national security. At DSO, you will develop more than just a career. This is where you will make a real impact and shape the future of defence across the spectrum of air, land, sea, space and cyberspace.
  • The Emerging Systems Division focuses research and development on a broad spectrum of capabilities that are critical to the Singapore Armed Forces (SAF) defence systems. These include antenna design and electromagnetics, as well as next-wave technologies in the areas of lasers and advanced materials.
  • People are DSO’s greatest asset. You will get to realise your career aspirations and develop your own niche either as a deep technical expert or a leader in the team. With frequent career dialogues and a robust training and development framework, we will provide you with the necessary development tools for you to reach your potential. You will also be recognised and rewarded through competitive remuneration packages and scholarship opportunities.
  • Develop and optimise software for real-time image processing
  • Develop and train models for object detection. Apply compression techniques to optimise performance and efficiency

Requirements

  • Degree/ Masters/ PhD in Computer Science/ Electrical & Electronic Engineering
  • Strong understanding of image processing / computer vision concept
  • Experience with C++ and Python preferred
  • Experience with use of computer vision libraries such as OpenCV preferred
  • Strong communication skills, both verbal and written