Machine Vision Engineer — Manufacturing Automation

Corning Inc.

Hickory (NC)

On-site

USD 82,000 - 113,000

Full time

14 days+

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Job summary

Corning Inc. in the United States is seeking a Machine Vision Engineer to develop and deploy vision-based solutions across multiple manufacturing plants. You will work on quality inspection, process monitoring, automation, and data collection to improve throughput and efficiency.

The role requires a background in manufacturing, machine vision, or controls, and offers hands-on project collaboration, learning opportunities, and growth within a global team.

Qualifications

  • BS or MS in Computer Engineering, CS, EE, EET, or related field.
  • 3+ years of experience in related engineering field.
  • 2+ years of manufacturing experience preferred.
  • Programming 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.

Responsibilities

  • 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.

Skills

Python
C/C++
C#
Machine vision
Manufacturing
Teamwork
Communication
Machine learning basics

Education

BS or MS in Computer Engineering / CS / EE / EET
3+ years related engineering experience
2+ years manufacturing experience preferred

Tools

Cognex
Keyence
Halcon
VisionPro
LabVIEW
Allen-Bradley PLC

Job description

Corning Inc. in the United States is seeking a Machine Vision Engineer to develop and deploy vision-based solutions across multiple manufacturing plants. You will work on quality inspection, process monitoring, automation, and data collection to improve throughput and efficiency.

The role requires a background in manufacturing, machine vision, or controls, and offers hands-on project collaboration, learning opportunities, and growth within a global team.

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