Process Engineer

at  Corning

Date: Jan 21, 2025
Location: Keller, TX, US, 76248
Company: Corning
Requisition Number: 66505
Corning is vital to progress – in the industries we help shape and in the world we share.
We invent life-changing technologies using materials science. Our scientific and manufacturing expertise, boundless curiosity, and commitment to purposeful invention place us at the center of the way the world interacts, works, learns, and lives.
Our sustained investment in research, development, and invention means we’re always ready to solve the toughest challenges alongside our customers.
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.

REQUIRED QUALIFICATIONS:

• BS in Engineering. Mechanical Engineering preferred.
• 2+ years of experience of process engineering in a development or operations.
• Problem solving - Proficient in the use process control and analysis techniques to recommend decision based on thorough data analysis.
• Excellent communication skills, both written and verbal
• Experience designing components using CAD (Solidworks, CREO)

DESIRED QUALIFICATIONS:

• Capable of performing data analysis using MS excel (SPC), DOE, KT Analysis, or Minitab software
• Familiar with fiber optic theory

• Design and develop new processes or improve existing processes at Corning facilities worldwide.
• Solve problems and improve processes based on fundamental understanding.
• Ensure that manufacturing requirements are properly developed and documented in conjunction with appropriate manufacturing, production, and engineering personnel.
• Analyze process data using statistical tools (e.g. pareto, regression, time charting, analysis of variance, gauge R&R, etc.).