Senior LSR Process Engineer – Molding & Optimization

Ingersoll Rand; Buffalo Grove (IL); On-site; USD 100,000 - 125,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Wellness programs

401(k) plan

Paid time off

Employee stock grant

Job summary

Ingersoll Rand is seeking a Sr. Process Engineer in Lincolnshire, IL. This role focuses on developing and optimizing molding processes for liquid silicone rubber and high consistency rubber. The ideal candidate will have over 5 years of experience in silicone and rubber molding with strong technical skills in process improvement and troubleshooting.

Responsibilities will include driving manufacturing performance, collaborating with quality and production teams, and utilizing statistical techniques to enhance capabilities. A Bachelor's degree in Engineering is required.

Qualifications

• 5+ years' direct experience in silicone and/or rubber molding.
• Strong understanding of LSR injection and HCR molding.
• Experience using DOE, SPC and statistical tools for process improvement.

Responsibilities

• Develop and optimize molding processes for LSR and HCR.
• Provide technical support for molding issues and lead root cause analysis.
• Drive improvements in cycle time, scrap reduction, and yield optimization.

Skills

Silicone and/or rubber molding

Engineering drawings interpretation

Statistical tools for process improvement

Education

Bachelor's degree in Engineering (Mechanical, Manufacturing, Materials, Plastics, Polymer)

Tools

SolidWorks

Statistical Process Control (SPC)

Job description

Ingersoll Rand is seeking a Sr. Process Engineer in Lincolnshire, IL. This role focuses on developing and optimizing molding processes for liquid silicone rubber and high consistency rubber. The ideal candidate will have over 5 years of experience in silicone and rubber molding with strong technical skills in process improvement and troubleshooting.

Responsibilities will include driving manufacturing performance, collaborating with quality and production teams, and utilizing statistical techniques to enhance capabilities. A Bachelor's degree in Engineering is required.