Sr. Engineer, Machine Vision

Corning•City of Corning, NY

22d•Onsite

About The Position

Corning's Manufacturing, Technology and Engineering division (MTE) is recognized as the leader in engineering excellence & innovative manufacturing technologies by providing diverse skills to Corning’s existing & emerging businesses. We anticipate & provide timely, valued, leading edge manufacturing technologies and engineering expertise. We partner with Corning’s businesses and the Science & Technology division. Together we create and sustain Corning’s manufacturing as a differential advantage. Responsible for development, assembly, and validation of machine vision systems in support of the development and manufacturing of Corning products. Lead the transfer of technology from the lab to the manufacturing line.

Requirements

BS, MS or PhD in Physics, Optics, ME, ECE or EE plus minimum 3 years of hands-on experience with machine vision metrology equipment.
Knowledge of Machine Vision systems (optics, lighting, cameras, image acquisition, image analysis)
Machine vision system development (optics, lighting, cameras, image acquisition, image analysis)
Experience with image processing development packages such as Halcon, OpenCV, Matrox Inspector, NI Vision, or Matlab image processing toolbox
Fundamental knowledge of physical optics (principles of optics, ray tracing)
Knowledge of image processing algorithms (blob analysis, edge finding, morphology, feature extraction, classification, metrology)
Ability to effectively communicate with internal customers to understand metrology requirements and deliver results that are effectively interpreted and applied.
Strong communication and presentation skills
Data retrieval, plotting and analysis
C# programming experience

Nice To Haves

Experience with Python CV/ML packages; OpenCV, Sklearn, Numpy, and at least one deep learning package (Tensorflow/PyTorch/Keras, etc).
Halcon image processing experience
Experience developing and troubleshooting WPF applications
Process engineering knowledge. Experienced with design of experiments, statistical analysis and process improvement.
Experience with electrical/optical/mechanical installations, including system checkout
Experience with Metrology, Inspection and Product Quality in support of production organizations
Motion Control – ability to integrate motion on imaging platforms

Responsibilities

Use off-the-shelf instruments or develop new inspection methods to optimize manufacturing processes or inspect the quality of Corning products.
Utilize novel computer vision and machine learning methods to perform object detection/classification tasks, such as segmentation and detection for production defects.
Develop measurement solutions that are suitable for use in manufacturing and leverage external suppliers for key technologies or strengths such as system integration.
Work with a variety of multi-functional groups (Development, Quality, IT, Purchasing, Operations) to deliver effective solutions.
Design experiments and analyze data to identify and implement improvements to measurement systems or production processes.
Create/update documentation for release to production including machine specifications and operating procedures.
Train engineering, maintenance, and operations personnel to use and maintain measurement systems.
Provide remote and onsite troubleshooting of production measurement systems.