Dimensional Engineer

Job Details

LocationWarren, MI, United States of America
Job TypeContract Full-Time
Degree RequiredBachelor Engineering

Job Description

On behalf of our World Class Manufacturing client, we are currently recruiting for an experienced Dimensional Engineer to join their team.


  • Develops and maintains list of critical product and process characteristics for Body Shop and Stamping Plants
  • Recommends best gauging methods
  • Performs data analysis to identify special and common cause problems
  • Helps in development and roll-out of training material
  • Support plants in root causing dimensional issues
  • Work with cross-functional team to recommend and evaluate corrective action
  • Documents case studies
  • Responsibilities will include Interior and Exterior dimensional validation, Creating Kaizens and eCims from QAF build issues and part validation, Root cause analysis, ensuring part availability for the QAF builds, Launch support and supplier interface

  • Completed Bachelor's degree in Engineering
  • Strong analytical and problem solving skills
  • Knowledge in basic statistics and process control required
  • Strong communication skills with the ability to work with cross-functional teams
  • Understanding of GD&T
  • Familiarity with metrology equipment for root cause diagnostics
  • Proficient in Excel, PowerPoint and other MicroSoft Office applications
  • Knowledge of BIW Assembly Process ( Meisterbock, Quality Assurance Fixtures, Laser Trackers, CMM, In-Line Vision Stations, MiniTab)
  • Analyze complex parts and sub-assemblies ( sheet metal, exterior and interior)
  • Availability to work variable shifts, including weekends
  • Percent Travel: 20%, will be required to travel domestically to supplier locations
  • May be required to drive a company car. Valid driver's license is required as well as a clean driving record.
  • Advanced Degree preferred
  • Experience in using statistical analysis applications
  • Good data analysis skills ie: Minitab or equivalent statistical package
  • Knowledge in advance statistical concepts
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