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Corning Incorporated · 4 months ago

Sr. Engineer, Measurements

Corning, NY

Full-time

Onsite

Senior Level

$95K/yr - $131K/yr

Corning Incorporated is a leading innovator in glass, ceramic, and materials science. The Sr. Engineer, Measurements will be responsible for developing and implementing advanced measurement systems using optical metrology, machine vision, and machine learning to support product inspection and manufacturing operations.

Manufacturing

No H1B

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

Qualification

Optical metrologyMachine visionMachine learningPython programmingC# programmingData analysisControl systemsStatistical analysisCommunication skillsPresentation skills

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