Engineer, Process

Corning•Charlotte, NC

31d•$70,776 - $97,317•Hybrid

About The Position

This role focuses on reducing defects by identifying and eliminating root causes, partnering with suppliers to improve performance, and ensuring measurement and inspection systems meet customer requirements. Responsibilities include improving processes and solving problems through the scientific method, applying DMAIC and advanced statistical tools, and driving improvements in manufacturing cost, quality, uptime, yield, cycle time, and safety. The position also evaluates new raw materials, equipment, and process parameters; documents SOPs, SOSs, experiment plans, and process changes; and may support projects across any Corning division or Research & Development organization.

Requirements

Minimum of bachelor’s degree or will graduate by Spring 2027: in chemical, materials, ceramic, mechanical engineering, computer science or relevant field
0 to 5 years’ experience in engineering/manufacturing (will consider internship experience)
Rigorous problem solving - Proficient in the use of process control/ analysis techniques
Experience completing projects in a manufacturing organization
Decision making based on data

Nice To Haves

Effective presentation skills
Capable of leading small process development / improvement projects
Innovation experience
Process excellence (Six Sigma) Green Belt or higher
Strong written and oral communication skills
Personal initiative and commitment
Organized with good planning and time management skills
Ability to build relationships within cross functional groups; team building skills
Positive attitude, flexible and good work ethic

Responsibilities

Design and develop new processes or improve existing processes at Corning facilities worldwide
Solve problems and improve processes based on fundamental understanding and structured problem solving methods such as KT, Designed Experimentation, or Six Sigma.
Implement Process Control and Process Discipline systems into manufacturing operations
Analyze process data using statistical tools (e.g. pareto, regression, time charting, analysis of variance, gauge R&R, etc.).
Measure and communicate performance against established objectives.
Review and interpret data to make recommendations on immediate actions, long term corrective actions, follow-up experiments, etc.
Document processes and train operators and peers on defined processes