Find & Apply For Engineering Manager Jobs in Temple, Pennsylvania

Job Title:

Manufacturing Engineering Manager Location:

Temple, Pennsylvania Industry:

Cold Forming / Fastener Manufacturing

Position Summary

The Manufacturing Engineering Manager is responsible for leading manufacturing engineering activities within a high-volume fastener manufacturing plant. This role provides technical leadership for process optimization, tooling development, capital equipment projects, automation initiatives, and continuous improvement programs to improve productivity, quality, capacity, and operational efficiency.

The position serves as a key member of the plant management team, partnering with Production, Maintenance, Quality, Toolroom, and Supply Chain to develop and implement manufacturing solutions that suppKey Responsibilities

Manufacturing Engineering & Process Improvement

• Develop, implement, and optimize manufacturing processes for cold forming, machining, tooling, packaging, and secondary operations.
• Analyze production processes to identify opportunities for productivity improvement, waste reduction, capacity expansion, and cost optimization.
• Lead process improvement initiatives focused on increasing throughput, improving quality, reducing downtime, and lowering operating costs.
• Conduct process capability studies, time studies, and manufacturing assessments to improve operational performance.
• Provide technical support to Production and Maintenance teams for process-related issues and equipment performance improvements.
• Develop and maintain manufacturing standards, work instructions, setup procedures, and process documentation.
  Equipment & Engineering Projects
  
• Evaluate new technologies, automation solutions, and equipment upgrades to support capacity growth and operational improvements
• Build relationships with equipment manufacturers, tooling suppliers, contractors, and technical partners.
• Participate in equipment modifications, process transfers, and manufacturing changes to ensure successful implementation.
• Support the team in capital expenditure justifications, including cost analysis, ROI evaluation, and project timelines.
  Tooling Engineering & Toolroom Support
  
• Provide technical leadership and engineering direction to the Toolroom, supporting tooling design, fabrication, repair, and improvement activities.
• Design, reverse engineer, and improve tooling, fixtures, machine components, and manufacturing equipment using SolidWorks and engineering software.
• Support the development and optimization of cold forming tooling, dies, fixtures, gauges, and production components.
• Determine material selection, specifications, and manufacturing methods for tooling components and machine parts.
• Prioritize Toolroom activities based on production requirements, equipment reliability, and business priorities.
• Support troubleshooting of tooling failures and implement corrective actions to improve tool life and performance.
  Equipment Reliability & Technical Support
  
• Provide advanced mechanical troubleshooting and engineering support for production equipment, tooling, and manufacturing systems.
• Collaborate with Maintenance to improve equipment reliability and reduce unplanned downtime.
• Perform root cause analysis (RCA) on equipment failures, process issues, and recurring manufacturing problems.
• Support equipment modifications, machine upgrades, and engineering improvements to enhance safety, reliability, and productivity.
• Participate in equipment installation, validation, and startup activities.
  Automation & Operational Excellence
  
• Evaluate opportunities for automation, robotics, and technology improvements to increase efficiency and reduce labor requirements.
• Support Lean Manufacturing, 5S, and continuous improvement initiatives throughout the facility.
• Support solutions to improve material flow, production efficiency, and workplace organization.
• Support plant layout optimization projects to improve workflow, safety, and space utilization.
• Promote a culture of continuous improvement and data-driven decision-making.