Vision Software Engineer – Machine Vision Systems

Pentamaster; Bayan Lepas; On-site; MYR 45,000 - 60,000; Full time

Job summary

A technology company in Penang, Malaysia is looking for a software developer to oversee the full development process for machine vision products. Applicants should have a Bachelor's degree in relevant fields such as Computer Science or Engineering. Responsibilities include designing automated inspection systems, debugging software, and collaborating with production teams. Preferred experience includes C++, C#, and Computer Vision technologies combined with machine learning frameworks like TensorFlow or Pytorch. This position offers a challenging opportunity to enhance automation solutions.

Qualifications

• Bachelor’s Degree in Computer Sciences, Physics, Mathematics, Engineering, or similar fields.
• Experience in C++, C#, Computer Vision, Open CV, and Imaging.
• Familiarity with Deep Learning Frameworks like Pytorch and TensorFlow.

Responsibilities

• Design and develop automated vision inspection systems.
• Evaluate raw materials for suitability in production.
• Analyze customer requirements and resolve software issues.
• Debug software and provide customer solutions.
• Collaborate with production teams on software-related issues.

Skills

C++

C#

Computer Vision

Open CV

Deep Learning

Pytorch

TensorFlow

GPU programming

CUDA

Image processing algorithms

Education

Bachelor’s Degree in Computer Sciences

Bachelor’s Degree in Physics

Bachelor’s Degree in Mathematics

Bachelor’s Degree in Engineering

Job description

A technology company in Penang, Malaysia is looking for a software developer to oversee the full development process for machine vision products. Applicants should have a Bachelor's degree in relevant fields such as Computer Science or Engineering. Responsibilities include designing automated inspection systems, debugging software, and collaborating with production teams. Preferred experience includes C++, C#, and Computer Vision technologies combined with machine learning frameworks like TensorFlow or Pytorch. This position offers a challenging opportunity to enhance automation solutions.