Automation Vision Engineer Intern

SUMMARY Support the development, testing, and improvement of machine vision systems used in automated manufacturing and product inspection. Under engineering guidance, apply programming, optics, and hands-on electrical skills to camera, lighting, and image processing projects while gaining experience in medical device manufacturing. ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned. • 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. SUPERVISORY RESPONSIBILITIES This job has no supervisory responsibilities. QUALIFICATIONS To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Required: 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. Required: Basic understanding of optics, including lenses, focus, and image formation, with an interest in learning how lighting and optics affect machine vision performance. Required: 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. EDUCATION and/or EXPERIENCE Coursework, labs, research, student teams, and personal projects may satisfy the qualifications above. Prior industry employment is not required. Preferred: 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. Preferred: 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. Preferred: 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. Preferred: Experience with OpenCV, Cognex In-Sight or VisionPro, Keyence vision systems, PLCs, microcontrollers, robotics, or image processing algorithms. LANGUAGE 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. MATHEMATICAL SKILLS 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. REASONING ABILITY 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. PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. While performing the duties of this job, the employee is regularly required to stand, sit, use hands to finger, handle, or feel. The employee must occasionally lift and/or move up to 25 pounds. WORK ENVIRONMENT The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Work is performed in engineering, laboratory, and manufacturing areas, including near moving machinery and electrical equipment. Noise levels vary by work area. Required training, supervision, and personal protective equipment apply to assigned tasks. Trividia Health uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.dhs.gov/E-Verify EQUAL OPPORTUNITY EMPLOYER: Trividia Health, Inc. is an Equal Opportunity, Affirmative Action, E-Verify employer. Employment decisions for all applicants and employees will be made without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, age, national origin, marital status, veteran status, disability, or other characteristics protected under local, state or federal law. Important Notice: This role is being recruited directly by Trividia Health, Inc. 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