Combine technical precision with a world-class lifestyle! Our client is seeking an experienced Quality Control Engineer to join their team in the scenic New Troy, MI area. Just minutes from the beautiful beaches of Lake Michigan, this role offers the perfect balance of a high-stakes automotive manufacturing career and an incredible quality of life. Reporting directly to the Quality Control Manager, you will be the guardian of product integrity, utilizing data-driven decisions to ensure every part meets the highest industry standards.
We are seeking a data-driven quality expert who brings:
Automotive System Expertise: 4-7 years of experience within an IATF 16949 system, with a firm grasp of automotive quality standards and compliance requirements.
Advanced Problem Solving: Mastery of Root Cause Analysis and the ability to independently complete and implement comprehensive 8D corrective actions.
Technical Documentation Mastery: Proven experience developing and maintaining PFMEAs, Control Plans, and Capability Studies to ensure process stability.
Data & SPC Utilization: Background in the implementation and utilization of Statistical Process Control (SPC) to monitor and improve shop floor performance.
Blueprint & GD&T Fluency: Expert ability to read and interpret complex blueprints, applying a deep understanding of Geometric Dimensioning and Tolerancing (GD&T).
location: NEW TROY, Michigan
job type: Permanent
salary: $80,000 - 90,000 per year
work hours: 8am to 4pm
education: High School
responsibilities:
Key Responsibilities:
Corrective & Preventative Action: Administer internal and external CAPA processes, ensuring that quality issues are identified, resolved, and prevented from recurring.
Process Parameter Development: Collaborate with the engineering team to develop and refine process parameters that ensure product quality and production efficiency.
Shop Floor SPC Implementation: Actively implement and monitor SPC protocols on the manufacturing floor to maintain tight control over production quality.
Lean & Continuous Improvement: Utilize Lean manufacturing methods to identify waste and recommend innovative solutions for quality enhancement.
Data-Driven Decision Making: Make consistent, rational quality decisions based on objective data analysis and statistical reporting.
Preferred Skills: Experience with MeasureLink software is welcomed but not required.
#randstadengineering
qualifications:
- Experience level:
- Education: High School (required)
skills: QualityGD&T (3 years of experience is required)