Machine Vision Engineer

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)
image processing
defect detection and vision-guided automation — 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 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 using 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.

• Demonstrated 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; offers exposure to global, cutting‑edge advanced manufacturing and automation solutions. Travel level varies by project phase and milestone.

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

• Experience with deep learning vision tools such as Cognex Vi Di ,
  MVTec MERLIC
  , Azure Custom Vision
  , or Tensor Flow / Py Torch applied to industrial inspection.
• Knowledge of USB3 Vision
  , CoaXPress
  , or Camera Link standards; experience with 3D vision or structured light systems a plus.
• Background in robotics
  , motion control
  , or vision‑guided robotics
  ; 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…