Engineer, Process

Corning•Charlotte, NC

19d•$70,776 - $97,317•Onsite

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 resolving complex problems through a scientific, data-driven approach; applying DMAIC methodology and advanced statistical tools; and driving improvements in manufacturing cost, quality, uptime, yield, cycle time, and safety. The role also evaluates new raw materials, equipment, and process parameters, while documenting SOPs, SOSs, experiment plans, and process changes. Projects may support any Corning division or Research & Development organization.

Requirements

Minimum of BS in chemical, materials, ceramic, mechanical engineering, computer science.
0 to 5 years’ experience in engineering/manufacturing
Rigorous problem solving - Proficient in the use of process control/ analysis techniques
Experience completing projects in a manufacturing organization and 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