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TT Vision Technologies

R&D Software Development Engineer

Posted Updated
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Salary: RM 5,000 – RM 6,000 per month

Skills & experiences requirement:

  • Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field, 1-3 years of experience is preferred, fresh graduates with excellent academic qualifications and relevant projects/internships are strongly encouraged to apply.

  • Strong programming skills in C#/.Net, C++, Python and others.

  • Detail oriented with ability to identify, troubleshoot and solve complex vision/software/hardware/system problems.

  • Strong analytical and problem-solving skills.

  • Ability to take direction, prioritize, manage task, work independently and in a team.

  • Strong oral, written, and interpersonal skills.

  • Willing to travel as required, during development, installations, and upgrades process.

  • Experience in vision library such as Halcon, OpenCV or VisionPro is an added advantage.

  • Experience in vision system development, image processing, optics is an added advantage.

  • Experience in machine learning and deep learning frameworks such as PyTorch, TensorFlow, ONNX, or OpenVINO is an added advantage.

  • Familiarity with GPU acceleration, CUDA, edge AI deployment is an added advantage.


Descriptions of job duties:

  • Design, develop, maintain and optimize software for automated visual inspection system.

  • Implement features based on system specifications and customer requirements.

  • Research, design, and implement defect detection, inspection, measurement methodology.

  • Integrate hardware such as cameras, lightings, I/O devices to the system.

  • Perform testing, validation and code reviews under guidance from senior leads.

  • Participate in cross-functional discussion with engineering, setup, and service teams.

  • Document code changes, system behavior, and troubleshooting steps.

  • Provide technical support during on-site deployment or customer escalations.

  • Ensure timely completion of assigned tasks with attention to detail.


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