Senior Process Engineer - Blow Mold & Process Improvement

Altium Packaging; Memphis (TN); On-site; USD 85,000 - 115,000; Full time

Benefits offered by this job

Medical, dental and vision plans

401(k) with company contributions

Vacation days

Tuition reimbursement

Learning and training opportunities

Bonus potential

Job summary

Altium Packaging is seeking a Process Engineer III in Memphis to lead planning and execution of new production lines, ensuring the right platforms and processes for new products. You will diagnose and resolve production issues and mentor junior engineers to improve capabilities.

The role emphasizes cross-functional collaboration with plant leaders during transfer of new processes to production, plus data-driven parameter definition and control improvements.

Qualifications

• High school diploma or GED equivalent.
• A minimum of 7 years of experience in manufacturing operations.
• Blow Mold Manufacturing Experience.
• Lean Manufacturing and Six Sigma – continuous improvement.
• Good Manufacturing Practices, Root Cause Analysis, Safety Awareness & Intervention, Problem Solving.

Responsibilities

• Lead planning and implementation of new production lines; coordinate with project managers on platforms and processes for new products.
• Diagnose, troubleshoot, and solve production process issues; provide guidance to junior process engineers.
• Develop processes for plastic forming and secondary processes; support cross-functional initiatives.

Skills

Manufacturing operations

Blow mold

Lean manufacturing

Six Sigma

Root cause analysis

Process troubleshooting

Training operators

Project coordination

Education

Bachelor’s Degree in Engineering

Job description

Altium Packaging is seeking a Process Engineer III in Memphis to lead planning and execution of new production lines, ensuring the right platforms and processes for new products. You will diagnose and resolve production issues and mentor junior engineers to improve capabilities.

The role emphasizes cross-functional collaboration with plant leaders during transfer of new processes to production, plus data-driven parameter definition and control improvements.