Process Engineer R & D

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified last checked Jun 13, 2026

Salary

$78K-$100K not verified - source not recorded; timestamp not recorded

401(k) match

Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

20% below the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

Not verified

Weekend work

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Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Process Engineer R & D West Chicago, IL PURPOSE OF THE JOB The R&D Process Engineer (MPI) is a hands-on technical role responsible for developing, scaling, and industrializing new materials, formulations, and manufacturing processes for wood fiber and composite door products. This role sits at the critical interface between R&D and Operations, owning the transition from lab and pilot validation to full scale manufacturing, while ensuring process robustness, safety, quality, and cost effectiveness. Success in this role requires strong experimental discipline, plant level troubleshooting capability, and the ability to translate data into executable manufacturing solutions. JOB RESPONSIBILITIES Process & Technology Development Lead scale-up of new formulations, materials, and processes from lab and pilot equipment to full scale production lines Translate R&D learnings into manufacturing ready process windows, control plans, and operating standards Data Driven Problem Solving & Optimization Lead structured root cause analysis using DOE, SPC, Six Sigma, and Lean methodologies Diagnose and resolve process instability, quality defects, yield loss, and throughput limitations Design, execute, and document plant trials, including clear hypotheses, success criteria, and conclusions Use statistical and process data to drive decisions-not assumptions Manufacturing & Plant Interface Provide direct technical support to manufacturing teams during trials, startups, and sustained production Partner with Operations to implement proce

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