Real-Time Computer Vision & Automation Engineer

GMP Technologies; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

GMP Technologies is seeking a Software Engineer (Computer Vision | Automation) in Singapore to develop high-performance CV systems, build responsive GUIs, and optimize real-time data processing across automated inspection projects.

The role requires advanced degrees in engineering, 1–3 years of software development experience, and proficiency in C++. Familiarity with C# and Deep Learning for defect classification is a plus; English communication is essential.

Qualifications

• PhD, Masters, or Bachelors degree in Engineering or related field.
• 1 to 3 years of relevant software development experience.
• Senior roles available for candidates with experience in automation or semiconductor industries.
• Diploma holders with relevant experience may be considered at Associate Engineer level.
• Strong proficiency in C++ and Visual Studio Development Environment.
• Experience in computer vision, image processing, or vision inspection systems.
• Familiarity with C# for GUI development is a plus.
• Knowledge of Deep Learning (AI) for defect classification is an advantage.
• Excellent English communication skills, both written and verbal.

Responsibilities

• Develop software for high-performance, automated computer vision systems.
• Build responsive GUIs and multi-threaded applications that handle large datasets in real-time.
• Implement and optimize image processing and computer vision algorithms for inspection and automation.
• Collaborate across teams throughout the software development lifecycle prototyping, testing, and deployment.

Skills

C++

Computer vision

Image processing

Deep learning basics

English communication

Education

PhD/Masters/Bachelors in Engineering or related field

Diploma holders with relevant experience (Associate Engineer level)

Tools

Visual Studio

C#

Job description

GMP Technologies is seeking a Software Engineer (Computer Vision | Automation) in Singapore to develop high-performance CV systems, build responsive GUIs, and optimize real-time data processing across automated inspection projects.

The role requires advanced degrees in engineering, 1–3 years of software development experience, and proficiency in C++. Familiarity with C# and Deep Learning for defect classification is a plus; English communication is essential.