Engineering Supervisor

Requisition Number: 77421

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.

Corning is seeking an Engineering Supervisor to lead a small team of engineers and technicians focused on process optimization, continuous improvement, and new product and process integration in a manufacturing environment. This role plays a critical part in driving capacity, quality, and cost performance while developing technical talent and aligning engineering efforts with business objectives.

• Lead process improvement projects focused on capacity expansion, yield, quality, and cost reduction — developing detailed project plans including timelines, budgets, and resource allocation
• Provide engineering support to manufacturing operations, including troubleshooting and resolving complex process issues using data analysis, experimentation, and engineering principles
• Lead the implementation and integration of new processes and technologies, ensuring robust transfer and validation
• Standardize and replicate best practices in process engineering across operations, collaborating with peer sites to share learnings and drive consistency
• ollaborate with cross-functional teams (Technology, Quality, Manufacturing, Operations) to execute initiatives and ensure alignment with quality and business standards
• Mentor and develop team members, fostering a culture of continuous improvement and technical excellence

• Work Location:
  
  Hickory, NC
• Standard 40-hour work week; flexibility required for project demands
• Travel approximately 10%, with occasional weekend or after-hours support for critical projects

• Bachelor's degree in Mechanical, Electrical, Chemical, Process, Materials, Polymer Engineering, or a related technical field
• Minimum 5 years of engineering experience in process engineering or manufacturing support roles
• Demonstrated success leading process improvement, cost reduction, or new product/process integration projects
• Experience managing, mentoring, or leading teams in a manufacturing or technical environment
• Proficiency with data analysis and statistical tools (Excel, Minitab, JMP, Python)
• Experience with continuous improvement methodologies (e.g., Six Sigma, DMAIC)
• Ability to travel approximately 10%, with occasional flexibility for weekend or after-hours support

• Six Sigma Green Belt or Black Belt certification
• Formal project management training or certification (e.g., PMP)
• Knowledge of manufacturing cost accounting
• Project Management experience

• Applies engineering principles and statistical methods to diagnose root causes and implement sustainable process solutions
• Leads and develops small technical teams in a matrixed manufacturing environment
• Translates complex technical data into…