Automation Vision Engineer Intern

Essential Duties and 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 using schematics and electrical test equipment under supervision.
• Support camera and sensor communication with computers and programmable logic controllers (PLCs).
• Conduct experiments, record results, and help identify causes of inspection problems.
• Prepare technical documentation and support approved testing, validation, and change control activities.
• Follow safety and quality procedures; perform equipment work only as trained and authorized.

Qualifications

Currently pursuing a bachelor's or master's degree in Computer Science, Mechanical Engineering, Electrical Engineering, Computer Engineering, Mechatronics, Robotics, or a related engineering discipline. Basic understanding of optics, including lenses, focus, and image formation, with an interest in learning how lighting and optics affect machine vision performance. Strong proficiency in Microsoft Office applications, particularly Excel for organizing and analyzing data, using formulas, and creating charts, and Word for preparing clear, well-formatted technical documents. Coursework, labs, research, student teams, and personal projects may satisfy the qualifications above. Prior industry employment is not required.

Preferred Qualifications

• Programming projects using at least one language, such as Python, C++, C#, MATLAB, or Visual Basic; ability to explain personal contributions to developing and debugging code.
• Hands-on electrical experience assembling, wiring, testing, or troubleshooting circuits, sensors, or electronic systems; familiarity with basic schematics and use of a multimeter or similar test equipment.
• Machine vision or computer vision exposure through a course, lab, or project involving image acquisition, image processing, or camera-based inspection; ability to explain the work and results.
• Experience with OpenCV, Cognex In-Sight or VisionPro, Keyence vision systems, PLCs, microcontrollers, robotics, or image processing algorithms.

Skills

Ability to read technical instructions, equipment manuals, and basic schematics; document methods and results clearly; and communicate questions, findings, and progress with engineers, technicians, and production personnel. Ability to apply college-level algebra, geometry, and basic statistics to measurements, image analysis, and experimental results. Familiarity with unit conversions, tolerances, and graphical data interpretation. Ability to approach technical problems logically, develop and test hypotheses, compare results, and ask for guidance when needed. Demonstrates curiosity, attention to detail, willingness to learn, and the ability to work collaboratively.