The ideal candidate is resourceful, a fast learner, and excited to work across machine learning, large language models (LLMs), and computer vision to enhance……
*Modern AI Knowledge:* Familiarity with vision-language models or zero-shot detection. Pursuing or completed a degree in Computer Science, AI, Machine Learning,……
Modern AI Knowledge: Familiarity with vision-language models or zero-shot detection. Pursuing or completed a degree in Computer Science, AI, Machine Learning,……
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A 4 year degree in Computer Science, Electrical Engineering, Robotics, or a closely related technical field. Expertise in computer vision and robotics.…
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Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Embedded Systems, or related fields. Proficiency in C/C++ for embedded systems.…
Bachelors or Masters equivalent in Electrical Engineering, Software Engineering or Computer Science with 8+ years of experience in related industry.…
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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.
Computer Vision Engineer
In this role, you will:
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
JOB 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
The minimum salary is $84K and the max salary is $119K.
$84K – $119K/yr (Glassdoor Est.)
$100K
/yr Median
Queenstown Estate
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