Process Engineer
Process Engineer
Ellisville, MS
$100,000-$110,000
Process Engineer Overview
The Process Engineer will serve as a technical resource supporting three production lines. This role will work closely with Operations, Research & Development, and Quality teams to optimize manufacturing processes, improve product quality, and increase production efficiency. The Process Engineer will own production line trials, lead process improvement initiatives, and troubleshoot quality and manufacturing issues.
Process Engineer Responsibilities
Prioritize safety in daily activities and when implementing process changes
Champion quality improvement initiatives across production lines
Monitor and optimize critical customer physical and aesthetic product properties
Own the planning and execution of production line trials in collaboration with R&D
Monitor process KPIs and identify opportunities to improve quality, efficiency, and throughput
Drive continuous improvement and lean manufacturing initiatives
Lead root cause analysis and corrective actions related to quality and process defects
Identify and implement cost reduction opportunities
Analyze production data to identify process trends and improvement opportunities
Support process optimization through SPC, DOE, FMEA, and other engineering methodologies
Lead cross-functional projects involving Operations, Quality, R&D, and other internal teams
Provide technical guidance and troubleshooting support for manufacturing processes
Communicate findings, recommendations, and project results to all levels of the organization
Process Engineer Qualifications
Bachelor's degree from an accredited college or university in Mechanical Engineering, Chemical Engineering, Wood Science, or a related field
Minimum of 2 years of experience in a wood products manufacturing environment (preferred)
Experience with compression molding and/or hydraulic presses
Experience planning and executing production line trials
Knowledge of lean manufacturing and continuous improvement principles
Proficiency with Excel and Minitab or similar data analysis tools
Experience with root cause analysis and corrective action processes
Working knowledge of Statistical Process Control (SPC)
Familiarity with Failure Mode and Effects Analysis (FMEA)
Knowledge of Design of Experiments (DOE) and process optimization techniques
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