Machine Vision Engineer Intern: Imaging & Automation

Trividia Health, Inc.; Fort Lauderdale (FL); On-site; USD 22,000 - 33,000; Full time

Job summary

Trividia Health, Inc. in Fort Lauderdale, FL is seeking a temporary full-time student to help develop, test, and improve machine vision systems used in automated manufacturing and product inspection.

Under engineering guidance, you will apply programming, optics, and hands-on electrical skills to camera, lighting, and image processing projects. The role involves setting up cameras and lighting for automated inspection, evaluating image quality, collecting inspection images, and assisting with

Qualifications

• Pursuing a bachelor’s or master’s degree in a related engineering discipline.
• Strong interest in optics and image formation; willingness to learn lighting effects on vision performance.
• Proficiency with Microsoft Office for data analysis and documentation.

Responsibilities

• Assist with setting up cameras, lenses, lighting, and vision sensors for automated inspection.
• Evaluate focus, field of view, exposure, and lighting to improve inspection image quality.
• Collect inspection images and help analyze missed defects and false rejects.
• Develop and debug scripts for image processing, data analysis, or test automation.
• Assist with vision tools for presence detection, orientation, measurement, and barcode reading.
• Build and troubleshoot low-voltage test circuits and sensor connections under supervision.

Skills

Programming

Optics

Electrical skills

Machine vision

Education

Bachelor's or Master's in Computer Science/Engineering/Robotics

Tools

OpenCV

Cognex In-Sight

VisionPro

Job description

Trividia Health, Inc. in Fort Lauderdale, FL is seeking a temporary full-time student to help develop, test, and improve machine vision systems used in automated manufacturing and product inspection.

Under engineering guidance, you will apply programming, optics, and hands-on electrical skills to camera, lighting, and image processing projects. The role involves setting up cameras and lighting for automated inspection, evaluating image quality, collecting inspection images, and assisting with