Machine Vision Engineer II

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.

Our Optical Communications segment has recently evolved from being a manufacturer of optical fiber and cable, hardware and equipment to being a comprehensive provider of industry-leading optical solutions across the broader communications industry. This segment is classified into two main product groupings – carrier network and enterprise network. The carrier network product group consists primarily of products and solutions for optical-based communications infrastructure for services such as video, data and voice communications.

The enterprise network product group consists primarily of optical-based communication networks sold to businesses, governments and individuals for their own use.

We’re looking for a Machine Vision Engineer to help develop and deploy vision-based solutions across multiple manufacturing plants. In this role, you’ll work on projects involving quality inspection, process monitoring, automation, and data collection to improve manufacturing performance, efficiency, and throughput.

This is a great opportunity for someone with experience in manufacturing, machine vision, and/or controls who wants to grow their skills through hands‑on projects, collaboration, and continuous learning.

• 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

• BS or MS in Computer Engineering, Computer Science, Electrical Engineering, Electrical Engineering Technology, or related field
• 3+ experience with BS/MS degree in another engineering field is acceptable
• 2+ years of manufacturing experience preferred
• 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

• Cognex, Keyence, Halcon, Vision Pro, or LabVIEW
• PLC programming, especially Allen‑Bradley
• Electrical controls systems
• Process control, data analysis, and system modeling
• Databricks, AWS, or Six Sigma/DMAIC
• Up to 25% domestic travel
• Typically 40 hours/week
  , with occasional nights or weekends based on project needs

If you’re interested in applying technology to real manufacturing challenges and want to be part of a collaborative team, we’d like to hear from you.

This position does not support immigration sponsorship.

The range for this position is $82,051.00-$ assuming full time status. Starting pay for the successful applicant is dependent on a variety of job‑related factors, including but not limited to geographic location, market demands, experience, training, and education.

Corning offers you the total package.

Your well-being is our priority. Our compensation and benefits package supports your health and wellness, financial aspirations, and career from day one.

• Company‑wide bonuses and long‑term incentives align with key business results and ensure you are rewarded when the company performs well. When Corning wins, we all win.
• As part of our commitment to your financial well‑being, we provide a 100% company‑paid pension benefit with fixed contributions that grow throughout your career. Combined with matching contributions to your…