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Job Description
The Vision Application Support Engineer is responsible for deploying, calibrating, and optimizing machine vision systems to ensure accurate defect detection and high production performance. The role includes troubleshooting hardware and software issues, supporting FAT/SAT activities, and analyzing inspection data to improve yield and reduce false rejects. This position also provides training to customer teams on system setup and maintenance, while working closely with R&D and Software teams to relay field feedback and support product improvements.
Key Responsibilities
- Perform on-site and remote setup, calibration, and fine-tuning of vision systems to ensure maximum accuracy in defect detection.
- Diagnose hardware and software issues involving industrial cameras, high-speed lighting, and image acquisition protocols.
- Analyze inspection data to minimize false rejects and overkill, ensuring clients achieve optimal production yields.
- Lead Factory Acceptance Tests (FAT) and Site Acceptance Tests (SAT) to verify system performance against client specifications.
- Educate customer engineering teams on recipe setup, algorithm adjustment, and system maintenance.
- Act as the “voice of the customer” by providing field data to R&D and Software teams for product enhancement.
Requirements
- Degree/Diploma in Mechatronics, Electrical & Electronics, or Computer Engineering.
- Understanding of the machine vision ecosystem (Sensors, Optics, Lighting, and Processing).
- Proven ability to troubleshoot automated equipment in a fast-paced manufacturing environment.
- Ability to explain complex technical solutions to both internal teams and external clients.
Professional Advantages (Good to Have):
- Expertise in Optics & Lighting (Selection of FOV, DOF, and wavelength-specific lighting).
- Experience with Semiconductor/Electronics assembly or inspection processes.
- Familiarity with image processing libraries or inspection logic configuration.