Requisition Number: 75407

The company built on breakthroughs. ​  
Join us.​                    

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.  

Corning’s businesses are ever-evolving to best serve our customers, industries, and consumers. Today, we accelerate and transform life sciences, mobile consumer electronics, optical communications, display, automotive, and solar markets. We are changing the world with: 

• Trusted products that accelerate drug discovery, development, and delivery to save lives
• Damage-resistant cover glass to enhance the devices that keep us connected
• Optical fiber, wireless technologies, and connectivity solutions to carry information and ideas at the speed of light
• Precision glass for advanced displays to deliver richer experiences 
• Auto glass and ceramics to drive cleaner, safer, and smarter transportation 
• Solar polysilicon, wafers, and innovative photovoltaic modules, enabling low-cost solar energy solutions

Role Purpose

Corning is seeking an experienced Machine Vision Engineer to develop and deploy machine vision and PC-based control solutions that enable real-time quality assurance and closed-loop control in automated manufacturing systems. This role encompasses automated optical inspection (AOI) NEW, image processing NEW, defect detection NEW, and vision-guided automation NEW — with a strong emphasis on designing solutions that are scalable, repeatable, and production-ready across multiple manufacturing environments. The successful candidate will play a critical role in advancing Corning's smart manufacturing NEW and Industry 4.0 NEW capabilities.

Key Responsibilities

• Design and implement machine vision systems for in-process inspection — including defect detection NEW, dimensional gauging NEW, pattern recognition NEW, surface inspection NEW, barcode verification NEW, and optical character recognition (OCR) NEW — across automated production equipment.
• Select, configure, and deploy vision hardware including cameras NEW, lighting systems NEW, lenses NEW, and frame grabbers NEW; develop vision algorithms using Cognex VisionPro NEW, Keyence NEW, HALCON / MVTec NEW, OpenCV NEW, or NI Vision NEW using Python NEW, C++ NEW, C# NEW, or LabVIEW NEW.
• Integrate vision inspection solutions with PC-based control and automation platforms; interface with PLC NEW, SCADA NEW, HMI NEW, and MES NEW systems via OPC-UA NEW, EtherNet/IP NEW, or GigE Vision NEW protocols.
• Partner with mechanical, process, and systems engineers to align automated inspection and closed-loop control solutions with production quality requirements; translate manufacturing process knowledge into robust vision system specifications.
• Support commissioning, tuning, and long-term optimization of vision systems and motion control NEW solutions; perform camera calibration NEW, lighting optimization NEW, and algorithm tuning NEW to achieve target inspection performance.
• Architect repeatable, scalable automated inspection solutions designed for deployment across multiple manufacturing facilities; document systems to support long-term maintainability and knowledge transfer.

Required Experience & Qualifications

• Demonstrated hands-on experience with machine vision platforms — including Cognex NEW, Keyence NEW, HALCON NEW, NI Vision NEW, MVTec MERLIC NEW, or equivalent — with a track record of deploying systems into production manufacturing environments.
• Proficiency in PC-based control programming using Python NEW, C++ NEW, C# NEW, or LabVIEW NEW; experience with Beckhoff TwinCAT NEW, soft PLC NEW, or NI real-time systems NEW is highly valued.
• Track record of transitioning automated inspection, AOI NEW, or machine vision technologies from R&D NEW into sustained production use.
• Ability to integrate vision inspection outputs with PLC NEW, SCADA NEW, HMI NEW, and MES NEW systems via OPC-UA NEW, EtherNet/IP NEW, or GigE Vision NEW standards.
• Proven ability to build scalable automation solutions for multi-site manufacturing NEW deployment; strong documentation, communication, and cross-functional collaboration skills.

• Willingness to travel up to 50% in a project-based role supporting multiple Corning manufacturing sites, including travel for equipment builds, commissioning, and ramp-up; offers exposure to global, cutting-edge advanced manufacturing and automation solutions. Travel level varies by project phase and milestone

Preferred Capabilities & Education

• Bachelor's degree (or higher) in Electrical Engineering NEW, Computer Engineering NEW, Mechanical Engineering NEW, Optical Engineering NEW, Mechatronics NEW, Computer Science NEW, or closely related discipline.
• 5+ years in machine vision, controls engineering, or industrial automation
• Familiarity with camera selection NEW, lighting design NEW, lens selection NEW, and sensor calibration NEW for industrial environments.

• Experience with deep learning vision NEW tools such as Cognex ViDi NEW, MVTec MERLIC NEW, Azure Custom Vision NEW, or TensorFlow / PyTorch NEW applied to industrial inspection.
• Knowledge of USB3 Vision NEW, CoaXPress NEW, or Camera Link NEW standards; experience with 3D vision NEW or structured light NEW systems a plus.
• Background in robotics NEW, motion control NEW, or vision-guided robotics NEW; experience in glass, fiber optics, semiconductor, or precision manufacturing preferred.

This position does not support immigration sponsorship.

The range for this position is  -  assuming full time status. Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. 

We prohibit discrimination on the basis of race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, veteran status or any other legally protected status.

Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodations to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodation related to disability or religion, please contact us at accommodations@corning.com.