Senior Engineer - Machine Vision

Corning•City of Corning, NY

8d•$95,386 - $131,156•Onsite

About The Position

Corning is a world leader in glass, ceramic, and materials science, known for pushing the boundaries of what's possible with its technologies. The company's success is driven by its people who continuously break through limitations and drive progress. At Corning, there are endless possibilities to make an impact across various sectors, including life sciences, mobile consumer electronics, optical communications, display, automotive, and solar markets. The company is committed to innovation and transforming industries with its trusted products and solutions.

Requirements

MS required or PhD in Optical Engineering, Computer Science, Physics, Electrical Engineering, Mechanical Engineering, or related fields.
MS with ~2-6 years, or a PhD with 0-3 years of relevant experience
Hands-on experience with optical systems, imaging hardware, and measurement instruments.
Strong programming skills in Python and/or C# for algorithm development, data manipulation, and system integration.
Solid knowledge of machine vision algorithms (blob analysis, edge detection, morphology, feature extraction, classification, etc.).
Experience with machine learning techniques, including training CNNs and using traditional methods.
Data retrieval, plotting, and analysis using tools like Excel, MATLAB, or Python.
Familiarity with software development tools such as Halcon, OpenCV, or LabVIEW.
Ability to work independently and provide technical guidance within a team.
Strong communication and presentation skills (MS Office programs).
Up to 10-30% domestic and international travel may be required, with trips ranging from one day to several weeks.

Nice To Haves

Experience with optical metrology techniques, including 3D measurement, structured light, 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 high-performance computing systems.
Experience supporting manufacturing operations with metrology and inspection systems.

Responsibilities

Design, build, and test measurement systems incorporating optical metrology and machine vision techniques, working independently on moderately complex tasks.
Develop and implement image processing and machine learning algorithms for feature extraction, classification, and metrology.
Diagnose and solve moderate technical problems with little or no guidance, and estimate risks to guide next-step decisions.
Manage a project workstream or process, or provide technical supervision within a laboratory or sub-team, as assigned.
Collaborate across functions (Development, Quality, IT, Operations) to define requirements and deploy systems into manufacturing workflows.
Suggest enabling technologies that can be leveraged across the Technology Community to improve products or processes.
Support the transfer of technology from development toward production-ready solutions.
Create and maintain documentation, and author formal reports, living reference documents, or intellectual property filings.