Sr. Engineer, Machine Vision

CorningCorning, NY
97d$95,386 - $131,156

About The Position

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. 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. 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.

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

  • 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.
  • 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.

Benefits

  • Medical, dental, vision insurance.
  • 401(k) plan with company matching contributions.
  • Pension plan.
  • Life insurance coverage.
  • Disability benefits.
  • Paid time off (PTO).
  • Company-wide bonuses and long-term incentives.
  • Peer-to-peer recognition program.

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What This Job Offers

Job Type

Full-time

Industry

Nonmetallic Mineral Product Manufacturing

Education Level

Bachelor's degree

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