Vision Engineer

ORION SYSTEMS INTEGRATION PTE. LTD.; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

ORION SYSTEMS INTEGRATION PTE. LTD. seeks a Vision Engineer to design and implement machine vision solutions for semiconductor manufacturing. You will develop PC-based vision software, optimize Deep Learning models, and calibrate systems at client sites.

The role requires 3+ years in computer vision, strong C++/C# skills, and experience with vision hardware and OpenCV. Collaboration with automation teams and thorough documentation are essential components of the job.

Qualifications

• Diploma or bachelor’s or master’s degree in computer science, electrical engineering, robotics, or related field.
• Minimum 3 years hands-on experience in computer vision, image processing, or machine learning with listed libraries/frameworks.
• Proficiency in C# and C++ for vision and automation applications.

Responsibilities

• Design, develop, and optimize computer vision systems for defect detection and automation in semiconductor environments.
• Evaluate customer samples to define machine vision hardware and software requirements.
• Develop vision software applications, including vision logic, UI, and system architecture.
• Implement deep learning-based vision models for high-speed inspection processes.
• Install, calibrate, and fine-tune vision inspection systems at customer sites.
• Collaborate with cross-functional teams to integrate vision with automation and control systems.
• Maintain design/test documentation and provide training to teammates.
• Support production and maintenance teams in troubleshooting vision systems.

Skills

Computer vision

C++

C#

Embedded systems

Deep learning

Industrial automation

Troubleshooting

Teamwork

Self-motivation

OpenCV

Education

Bachelor/Master/Diploma in CS/EE/Robotics

Tools

Halcon

Cognex VisionPro

Matrox

Keyence

OpenCV

CUDA

FPGA

VisionMaster

Job description

We are seeking a technically competent and self-driven Vision Engineer with a proven track record in industrial vision or automation systems. The ideal candidate is both an independent contributor and a strong team player, capable of combining solid design expertise with sharp troubleshooting skills to develop and implement advanced machine vision solutions for semiconductor and automated manufacturing applications.

Key Responsibilities

1. Design, develop, and optimize computer vision systems for defect detection, feature recognition, and automation in semiconductor and precision manufacturing environments.
2. Evaluate customer samples to analyse image characteristics and define appropriate machine vision hardware (optics, cameras, lenses, lighting) and software requirements.
3. Design and develop custom machine vision solutions using programming or configuration-based tools, leveraging image processing libraries and frameworks.
4. Develop PC-based vision software applications, including vision logic, user interfaces (UI), and system architecture, ensuring high reliability and performance.
5. Implement and optimize deep learning-based vision models for high-speed, high-accuracy inspection processes.
6. Conduct system installation, programming, calibration, and fine-tuning of vision inspection systems both in-house and at customer sites.
7. Collaborate with multidisciplinary teams to integrate vision systems with automation, robotics, and control systems.
8. Maintain documentation for system design, test procedures, and compliance requirements and provide training to others.
9. Support production and maintenance teams in troubleshooting and improving existing vision systems.

Requirements

1. Diploma or bachelor’s or master’s degree in computer science, Electrical Engineering, Robotics, or a related discipline.
2. Minimum 3 years of hands-on experience in computer vision, image processing, or machine learning, utilizing libraries/frameworks such as Halcon, Cognex VisionPro, Matrox, Keyence, OpenCV, Omron, Vision Master.
3. Proficiency in C# and C++ for vision and automation applications.
4. Strong understanding of vision hardware components - including optics, lenses, and lighting.
5. Familiarity with machine vision, industrial automation, and PLC integration is a strong advantage.
6. Knowledge of deep learning architectures is advantage (e.g., CNNs, GANs, Transformers) for visual recognition is preferred.
7. Experience with real-time processing, embedded systems, or hardware acceleration technologies (e.g., CUDA, FPGA) is a plus.
8. Self-motivated, capable of working independently with minimal supervision.
9. Excellent communication skills in both spoken and written English.