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.

Corning’s businesses evolve to serve customers across life sciences, mobile consumer electronics, optical communications, display, automotive and solar markets. We accelerate and transform these industries 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

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),
image processing
, defect detection
, and vision‑guided automation — with a strong emphasis on designing scalable, repeatable, and production‑ready solutions across multiple manufacturing environments. The successful candidate will play a critical role in advancing Corning’s smart manufacturing and Industry 4.0 capabilities.

• Design and implement machine vision systems for in‑process inspection, including defect detection, dimensional gauging, pattern recognition, surface inspection, barcode verification, and optical character recognition (OCR) across automated production equipment.
• Select, configure, and deploy vision hardware including cameras, lighting systems, lenses, and frame grabbers; develop vision algorithms using Cognex Vision Pro, Keyence, HALCON / MVTec, OpenCV, or NI Vision with Python, C++, C#, or LabVIEW.
• Integrate vision inspection solutions with PC‑based control and automation platforms; interface with PLC, SCADA, HMI, and MES systems via OPC‑UA, Ether Net/IP, or GigE Vision 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 solutions; perform camera calibration, lighting optimization, and algorithm tuning 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.

• Hands‑on experience with machine vision platforms, including Cognex, Keyence, HALCON, NI Vision, MVTec MERLIC, or equivalent, with a track record of deploying systems into production manufacturing environments.
• Proficiency in PC‑based control programming using Python, C++, C#, or LabVIEW; experience with Beckhoff TwinCAT, soft PLC, or NI real‑time systems is highly valued.
• Track record of transitioning automated inspection, AOI, or machine vision technologies from R&D into sustained production use.
• Ability to integrate vision inspection outputs with PLC, SCADA, HMI, and MES systems via OPC‑UA, Ether Net/IP, or GigE Vision standards.
• Proven ability to build scalable automation solutions for multi‑site manufacturing 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; travel level varies by project phase and milestone.

• Bachelor’s degree (or higher) in Electrical Engineering, Computer Engineering, Mechanical Engineering, Optical…