Responsibilities
Vision System Development & Integration
- Design, develop, and implement machine vision solutions for inspection, alignment, measurement, and identification processes.
- Integrate cameras, lighting, lenses, and vision software into automated production and test systems.
- Work with smart cameras and PC-based vision platforms (e.g., Cognex, Keyence, HALCON, OpenCV, NI Vision).
Image Processing & Algorithm Development
- Develop image processing algorithms (e.g., defect detection, OCR, pattern matching).
- Optimize performance for accuracy, speed, and reliability under varying production conditions.
Software Programming
- Program vision systems using C/C++, C#, Python, or proprietary SDKs.
- Interface vision systems with PLCs, robots, motion controllers, and MES systems.
System Testing & Commissioning
- Conduct offline and on-site testing of vision systems.
- Fine-tune vision parameters for real-time performance and minimize false positives/negatives.
Project & Documentation
- Prepare functional specifications, vision test plans, and validation reports.
- Collaborate with process, automation, and manufacturing teams on project implementation.
- Maintain proper version control, backups, and system documentation.
Support & Troubleshooting
- Provide on-site debugging and troubleshooting support for production line issues.
- Train technicians and engineers in system usage and maintenance
Requirements
- Degree in Software Engineering, Electronics & Electrical Engineering , Computer Science or any related discipline
- Min 3 to 5 years working experience in vision application development with hardware selection and software implementation
- Experience in develop and implement a vision inspection system with AI deep learning capabilities with software engine/tools like VPDL, VisionTrain
- Experience in software programming using C# with Microsoft Visual Studio.
- Experience in PC based software design and implementation in auto machine/equipment development will be an added advantage.
- Experience in Microsoft C# will be an added advantage.
- Knowledge of machine learning or deep learning for visual inspection is a plus.
- Familiar with GD&T, IPC standards, or semiconductor packaging inspection (if industry-relevant).
- Willing to learn and adapt to new technology quickly.
- Ability to work independently.
- Good communication and interpersonal skills.
- Must be able to travel in short notice and good in customer engineering
JOB ID : L43993W5
All Successful candidates can expect a very competitive remuneration package and a comprehensive range of benefits.
Please email your resume in a detailed Word format to
We regret that only shortlisted candidates will be notified
People Profilers Pte Ltd
20 Cecil St, #08-09, PLUS Building Singapore
DID:
Georgez Josiah LIM
License Number: 02C4944
Registration Number : R