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R&D Process Engineer

Job in Carlisle, Cumberland County, Pennsylvania, 17013, USA
Listing for: Carlisle Companies Inc.
Full Time position
Listed on 2026-07-10
Job specializations:
  • Engineering
    Process Engineer, Manufacturing Engineer, Quality Engineering, Lean Manufacturing / Six Sigma
  • Manufacturing / Production
    Manufacturing Engineer, Quality Engineering, Lean Manufacturing / Six Sigma
Job Description & How to Apply Below
We're seeking an experienced R&D Process Engineer to join our team and help develop, optimize, and implement manufacturing processes that improve product quality, increase productivity, and reduce operating costs across our operations.

In this role, you'll lead complex process improvement initiatives, applying advanced analytical methods, experimental design, and Lean manufacturing principles to solve technical challenges and drive measurable business results. You'll partner closely with Operations, Quality, Engineering, and R&D to develop new technologies, support production, implement process controls, and lead capital and process improvement projects from concept through execution.

As a technical leader, you'll troubleshoot high-impact manufacturing issues, establish process control strategies, mentor production and engineering teams, and champion continuous improvement using Carlisle Operating System principles. You'll also leverage manufacturing data and quality systems to identify opportunities, improve process capability, and ensure consistent product performance.

What You'll Bring

* Bachelor's degree in Engineering or Science

* 5+ years of experience in process engineering within plastics, rubber, chemical, or related manufacturing industries.

* Strong knowledge of plastic compounding, extrusion, web handling, coating, winding, and manufacturing process technologies.

* Experience with quality and continuous improvement tools including SPC, DOE, Gauge R&R, DMAIC, Lean, and Six Sigma.

* Proven ability to lead cross-functional projects, influence stakeholders, and solve complex manufacturing problems.

* Strong communication, project management, and analytical skills.

* Experience with SAP, Microsoft Office, and manufacturing process control systems is preferred.

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