Aerospace Manufacturing Process Engineer — ESOP & Growth

ArtiFlex Manufacturing, Inc; Sterling Heights (MI); On-site; USD 95,000 - 130,000; Full time

Benefits offered by this job

ESOP (Employee Stock Ownership Plan)

Health insurance benefits

401k Matching

Job summary

ArtiFlex Manufacturing, Inc. is seeking a Manufacturing Process Engineer to own and optimize manufacturing processes and quality throughout the product lifecycle. The role collaborates with Program Management, Operations, and customers to ensure compliant, efficient, and high-quality production outcomes.

The MPE will lead APQP, develop manufacturing strategies, review designs for manufacturability, and drive continuous improvement using data-driven methods across cross-functional teams.

Qualifications

• Bachelor’s Degree in Engineering or equivalent
• Minimum of five (5) years of aerospace manufacturing/engineering experience
• Strong knowledge of AS9100 quality management systems, GD&T, control plans, FMEA, FAI (AS9102)
• Root cause analysis and problem-solving methodologies
• ERP systems and Microsoft Office proficiency

Responsibilities

• Lead APQP processes for successful product launches meeting customer requirements
• Develop robust manufacturing strategies including cost estimating and risk assessments
• Review designs, GD&T, and specs to ensure manufacturability and proper transfer to production
• Develop and maintain process documentation, control plans, inspection methods, and sampling plans
• Lead investigations of nonconformances and implement corrective actions, drive kaizen/lean initiatives

Job description

ArtiFlex Manufacturing, Inc. is seeking a Manufacturing Process Engineer to own and optimize manufacturing processes and quality throughout the product lifecycle. The role collaborates with Program Management, Operations, and customers to ensure compliant, efficient, and high-quality production outcomes.

The MPE will lead APQP, develop manufacturing strategies, review designs for manufacturability, and drive continuous improvement using data-driven methods across cross-functional teams.