Machine Vision Development Engineer

Machine Vision Development Engineer I

At Gentex, you'll help create innovative technologies that improve how people live, travel, and stay connected. Join a company driven by quality products across an evolving range of industries.

The Machine Vision Development Engineer I contributes to the development of world class machine vision systems to automate manufacturing processes, improve product quality, and reduce total manufacturing costs as part of a highly collaborative engineering team.

• Assist in designing production vision systems, including the specification of imaging components, illumination, and PC hardware.
• Support development of machine vision algorithms for product quality inspection, process control, and manufacturing automation.
• Implement new features and fix bugs in production vision applications under the guidance of more senior engineers.
• Troubleshoot, debug, and upgrade existing vision systems to improve reliability and performance.
• Assist with the setup of prototype imaging systems in a laboratory environment and help qualify new on-line and off-line vision systems in production.
• Gather and document basic analytics from computer vision algorithms to support performance improvement activities.
• Write and maintain technical documentation so end users understand how vision systems work and how to use them.
• Collaborate with cross-functional team members, taking direction from leaders while learning Gentex engineering practices.
• Provide support during production vision system downtime and help resolve issues quickly to minimize impact to manufacturing operations.
• Other duties as assigned.

• Action oriented – Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.
• Nimble learning – Actively learning through experimentation when tackling new problems, using both successes and failures as learning experiences.
• Attention to detail – Ensuring information is complete and accurate; following up with others to ensure that agreements and commitments have been fulfilled.
• Individual efficiency – Effectively managing time and resources so that individual work is completed efficiently.
• Quality focus – Promoting and maintaining high standards of work, looking for ways to improve products and services, while encouraging coworkers to do so as well.
• Communicating effectively – Developing and delivering multi-mode communications that convey clear understanding, taking into account the unique needs of different audiences.
• Personal accountability – Keeping promises and honoring commitments, accepting responsibility for one's actions and assuming responsibility when dealing with problems, crises, and issues.
• Maintaining a high level of honesty, integrity, and confidentiality with respect to company matters.
• Complying with all Company policies and procedures, safety regulations, company safety policies and safely perform all duties, including but not limited to, promoting a safe workplace.

• Bachelor's of Science (B.S.) degree in Engineering, Science, or other related technical field.
• 0–3 years of engineering experience in a technical, scientific, or related field (co-op or internship experience may be included).
• Foundational knowledge of computer systems and technologies.
• Basic understanding of vision hardware, optics, and lighting.
• Experience with at least one modern programming language such as C# or Visual Basic .NET.
• Basic problem-solving skills and the ability to recognize issues and react quickly.
• Excellent verbal and written communication skills.
• Proficiency in Microsoft Office Suite.

• Master's degree in Engineering, Science, or other related technical field.
• Ability to program in the .NET Framework (C#, C++, VB).
• Experience with MVTec Halcon, OpenCV, or another machine vision library.
• Knowledge of statistical analysis and its application to manufacturing data.
• Ability to quickly comprehend and apply new software development practices and machine vision technology.
• Mechanical aptitude and basic electronics knowledge.
• Experience with photography and optics.
• Demonstrated ability to fix a problem before it happens…