Machine Vision Engineer II: Automate Quality

Corning Incorporated; Hickory (NC); Presencial; USD 82.000 - 113.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Company bonuses

401(k) matching

Health, dental, vision insurance

Pension plan

Paid time off

Descripción de la vacante

Corning Incorporated is hiring a Machine Vision Engineer to design, implement, and support vision‑based solutions across multiple manufacturing plants. You will work on quality inspection, process monitoring, automation, and data collection to improve performance and throughput.

The role requires strong programming in Python/C/C++/C# and experience with machine vision systems. Travel up to 25% and a collaborative, cross‑functional team environment are expected.

Formación

• BS or MS in Computer Engineering, Computer Science, Electrical Engineering, or related field.
• 2+ years of manufacturing experience preferred.
• 3+ experience with BS/MS degree in another engineering field is acceptable
• Programming experience in Python, C/C++, or C#
• Experience with machine vision systems, smart cameras, or industrial vision platforms
• Basic understanding of machine learning
• Strong communication, problem‑solving, and teamwork skills

Responsabilidades

• Design, implement, and support machine vision applications
• Use imaging and machine learning tools to automate manufacturing processes
• Partner with engineering, operations, and process teams to solve plant challenges
• Analyze process data and apply optimization methods to improve performance
• Document results and contribute to technical innovation

Conocimientos

Python

C/C++

C#

Machine vision

Communication

Teamwork

Problem solving

Machine learning basics

Educación

BS or MS in Computer Engineering/CS/EE

Herramientas

Cognex

Keyence

Halcon

VisionPro

LabVIEW

Descripción del empleo

Corning Incorporated is hiring a Machine Vision Engineer to design, implement, and support vision‑based solutions across multiple manufacturing plants. You will work on quality inspection, process monitoring, automation, and data collection to improve performance and throughput.

The role requires strong programming in Python/C/C++/C# and experience with machine vision systems. Travel up to 25% and a collaborative, cross‑functional team environment are expected.