Senior Process Engineer

Requisition Number: 79267

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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.

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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.

Role Purpose

Corning is seeking a Senior Manufacturing Engineer to improve manufacturing processes, equipment, and capabilities at our Newton, NC facility. You will lead cost reduction, process improvement, and new technology projects, partnering with cross-functional teams and engineering colleagues across manufacturing sites to deliver measurable results.

Key Responsibilities

• Prioritize process and business needs and align engineering activities and resources to deliver them
• Lead and support continuous improvement, cost reduction, process optimization, and new product or process introduction projects, including equipment installation and debug
• Solve process issues through data analysis, experimentation, and collaboration with subject matter experts;