Machine Vision Engineer

Corning is one of the world’s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what’s possible.

How do we do this? With our people. They break through limitations and expectations—not once in a career, but every day. They help move our company, and the world, forward.

At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.

Come break through with us.

Our Optical Communications segment has recently evolved from being a manufacturer of optical fiber and cable, hardware and equipment to being a comprehensive provider of industry-leading optical solutions across the broader communications industry. This segment is classified into two main product groupings—carrier network and enterprise network. The carrier network product group consists primarily of products and solutions for optical-based communications infrastructure for services such as video, data and voice communications.

The enterprise network product group consists primarily of optical-based communication networks sold to businesses, governments and individuals for their own use.

We are seeking a Machine Vision Engineer to support the development, design, and debugging of machine vision hardware and software used in advanced automation and inspection systems. This role blends vendor-specific vision platforms with custom PC-based software and requires close collaboration with cross-functional engineering teams. The successful candidate will also provide technical guidance in areas such as optics selection and rapid prototyping while serving as a technical contributor throughout the full system lifecycle.

• Collaborate with team leaders to identify, define, and document machine vision requirements.
• Generate, evaluate, and select machine vision concepts in partnership with the automation team.
• Apply rapid prototyping, engineering analysis, and fundamental principles to select appropriate vision techniques, algorithms, and hardware.
• Work closely with mechanical and electrical engineers to integrate machine vision hardware into automation designs.
• Develop and maintain software for machine vision applications.
• Debug, test, and lead resolution of machine vision design or manufacturing issues.
• Present project results through internal reports and technical presentations to peers, managers, and customers.
• Act as a safety advocate and role model, ensuring all work is performed in a safe manner and environment.
• Document inventions and novel design concepts in accordance with company standards.

Education:

Bachelor’s degree in Electrical Engineering, Computer Science, Computer Engineering, Optics, Physics, or a related field.

Experience:

2+ years of combined engineering, manufacturing experience or Military experience in a technical role.

• Understanding of the full engineering design lifecycle, from requirements through deployment.
• Ability to work effectively with cross-functional teams to gather, align on, and present technical requirements and solutions.
• Knowledge of machine vision system integration within automated machinery.
• Experience selecting machine vision components including optics, cameras, lighting, and interfaces.
• Familiarity with at least one rapid prototyping platform for machine vision hardware and algorithms.
• Strong object-oriented programming skills in at least one C-based language.
• Experience with at least one PC-based machine vision library.
• Strong mathematical foundation, including linear algebra, signal processing, and modeling.
• Solid understanding of software engineering principles.
• Excellent technical documentation skills, including written content and diagrams.
• Proficiency with Microsoft Excel, Word, and PowerPoint.

• Experience with Cognex or Keyence vision systems.
• Programming experience in C# and/or C++.
• HALCON vision programming.
• MATLAB and/or Python.
• Optical modeling experience.
• OpenCV.
• Artificial…