Machine Vision Engineer

Machine Vision Engineer Date: Jun 2, 2026 Location: Painted Post, NY, US, 14870 Hickory, NC, US, 28601 Fairport, NY, US, 14450 Charlotte, NC, US, 28216 Company: Corning Requisition Number: 75407 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. Key Responsibilities 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 VisionPro, 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, EtherNet/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. Required Experience & Qualifications 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, EtherNet/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. Preferred Capabilities & Education 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 ViDi, MVTec MERLIC, Azure Custom Vision, or TensorFlow / PyTorch 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 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. Nearest Major Market: Corning #J-18808-Ljbffr Corning Incorporated