Sr. Engineer, Measurements

Requisition Number: 70939

 

The company built on breakthroughs. ​  
Join us.​        

                                                                      

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.  ​  

 

How do we do this? With our people. They break through limitations and expectations – not once in a career, but every day. They help move our company, and the world, forward. ​  

 

​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. And so much more.​   

 

​Come break through with us.  

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.

Scope of Position

You will be responsible for developing and implementing advanced measurement systems that utilize optical metrology, machine vision, motion, controls, and machine learning to support product inspection, quality control, and manufacturing operations. You will interface with cross-functional teams to ensure the successful deployment and maintenance of these systems.

Day-to-Day Responsibilities

• Design, build, and test measurement systems incorporating optical metrology and machine vision, automation, and machine learning.
• Develop and implement image processing algorithms for feature extraction, classification, and metrology.
• Create fully featured measurement systems that meet and exceed customer expectations.
• Train and deploy machine learning models to enhance measurement system performance.
• Collaborate with cross-functional teams (Development, Quality, IT, Operations) to define requirements and integrate systems into manufacturing workflows.
• Transfer technology from early-stage development to production-ready solutions.
• Create and update documentation, including system specifications, operating procedures, and software manuals.
• Train engineering, maintenance, and operations teams on the use and maintenance of deployed systems.
• Troubleshoot and optimize measurement systems, both remotely and onsite, using data analysis and performance metrics.

Experiences/Education - Required

• Prefer BS, MS, or PhD in Electrical Engineering, Optical Engineering, Computer Science, Physics, Mechanical Engineering, or related fields.
• Hands-on experience with optical systems, imaging hardware, and measurement instruments.
• Fundamental knowledge of control systems and electronics.
• Strong programming skills in Python and/or C# for data manipulation, motion/automation, and system integration.
• Knowledge of machine vision algorithms (blob analysis, edge detection, morphology, feature extraction, classification, etc.).
• Experience with machine learning techniques, including training CNNs and utilizing traditional methods.
• Data retrieval, plotting, and analysis using tools like Excel, MATLAB, or Python.
• Familiarity with software development tools such as Visual Studio, Halcon, OpenCV, or LabVIEW.
• Strong communication and presentation skills (MS Office programs).
• Travel Requirements:  Must be available for significant travel, primarily domestic, to multiple locations to support business needs. International travel could be required as well.

Experiences/Education - Desired

• Expertise in optical metrology techniques, including 3D measurement, lasers, and physical optics.
• Experience with motion control systems and imaging platforms.
• Knowledge of statistical analysis and process improvement methodologies (e.g., design of experiments).
• Familiarity with database management and