Extrusion Process Engineer - Drive Process Improvements

Corning Incorporated; Painted Post (NY); On-site; USD 85,000 - 117,000; Full time

Benefits offered by this job

Bonus program

401(k) matching

Health benefits

Job summary

Corning Incorporated is seeking an Engineering professional to lead extrusion process technologies within our Environmental Technologies group, focusing on improving manufacturing efficiency and product quality. The role involves hands-on problem solving and cross-functional collaboration to implement robust, cost-effective processes in a fast-paced setting.

The candidate will apply DMAIC, DOE, and Six Sigma methods to reduce variability, mentor operators, and work with division engineering to

Qualifications

• Bachelor’s or Master’s degree in an engineering discipline with 1–3 years manufacturing experience.
• Strong troubleshooting and data analysis skills with Lean/Six Sigma/ DMAIC methodology.
• Proficient in statistical methods and documentation for process improvement.

Responsibilities

• Provide engineering leadership for extrusion process technologies and support daily manufacturing operations.
• Collaborate with Division Engineering and Development teams for new die introductions and process certifications.
• Develop technical documentation and train operators on new equipment and processes.
• Lead projects using DOE and DMAIC to drive process/product improvements.

Skills

Extrusion process technologies

Lean Six Sigma

Root-cause analysis

Statistical methods

Design of Experiments (DOE)

Education

Bachelor’s or Master’s in Materials Science/Mechanical/Chemical/Manufacturing Technology

Tools

Microsoft Office

Job description

Corning Incorporated is seeking an Engineering professional to lead extrusion process technologies within our Environmental Technologies group, focusing on improving manufacturing efficiency and product quality. The role involves hands-on problem solving and cross-functional collaboration to implement robust, cost-effective processes in a fast-paced setting.

The candidate will apply DMAIC, DOE, and Six Sigma methods to reduce variability, mentor operators, and work with division engineering to