Salary
≈ $21k – $56k per year (Estimated)
Location
In office (George Town)
Employment
Full-Time
Confirmed on the employer's own hiring board on Sep 25, 2026. First seen by Alion on Sep 25, 2026.
Overview
Company
Impact
Profile match
ViTrox is a Malaysian company that designs and builds automated vision inspection systems for semiconductor and electronics manufacturing. Its machines inspect chips and circuit boards using proprietary imaging and machine learning software. The company is listed on Bursa Malaysia and exports worldwide from Penang.
Job Description
ViTrox is a Penang-based design and manufacturing company that puts today’s most imperative digital transformation with compassionate innovation at the heart of its brand. We turn the best machine vision technology into trusted solutions for semiconductor manufacturers, and now we are looking for an R&D deep learning software engineer who thrives on collaboration and wants to push the boundaries of what is possible today!
Responsibilities
- Develop a deep learning software to speed up the process of data labelling, model training and model inference for various computer vision tasks including image classification, semantic segmentation and object detection
- Research on algorithm improvements for higher performance, speed, accuracy and optimality
- Develop customised models for tasks that are hardly handled by traditional image processing algorithms
- Maintain and enhance previously developed deep learning software and models
Key Qualifications
- Background in Computer Science, Engineering (Software / Computer / Mechatronics / Electrical & Electronics) or equivalent
- Possess some experience in object-oriented programming languages, such as Python
- Experience with machine and deep learning frameworks, such as Scikit-Learn, Pytorch or TensorFlow
- Knowledgeable and experienced in applying deep learning algorithms on computer vision tasks, including image classification, semantic segmentation or object detection
- Experience with web development (REST) and / or container technology (Docker / Kubernetes) is a plus
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