Automation Vision Development Engineer

1 day ago

Ubi, Singapore People Profilers Full time

Job Responsibilities 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. 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 developing and implementing a vision inspection system with AI deep learning capabilities using tools such as VPDL or 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. Familiarity 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 on short notice and be effective in customer engineering. JOB ID : L43993W5All successful candidates can expect a very competitive remuneration package and a comprehensive range of benefits. Please We regret that only shortlisted candidates will be notified. #J-18808-Ljbffr

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