Precision Dimensional Engineer - Vehicle Geometry & Data

ALTEN Technology USA; Dundee (MI); On-site; USD 90,000 - 120,000; Full time

Job summary

ALTEN Technology USA in Michigan is seeking a Dimensional Engineer to lead dimensional improvements on vehicle geometry, via part, tooling, or design actions, collaborating with cross-functional teams.

You will analyze complex parts with measurement systems (CMMs, laser trackers) and data from multiple sources to identify top issues and root causes, then work with production and quality teams to implement and validate solutions, while monitoring trends for variation reduction.

Qualifications

• Bachelor's degree in engineering is required.
• GD&T knowledge with measurement and tolerance understanding.
• Proficient reading of measurement data.
• Experience with NX System and Teamcenter is desired.
• Mechanical engineering preferred.

Responsibilities

• Lead dimensional improvements on vehicle geometry through actions on parts, tooling, or design.
• Analyze complex parts and sub-assemblies using measurement systems (CMMs, laser trackers, etc.).
• Perform data analysis across sources to identify top issues and root causes.
• Work with production and quality teams to implement and validate solutions.
• Verify effectiveness of corrective actions via data analysis.
• Monitor trend charts and drive variation reduction with cross-functional teams.
• Communicate issues with internal and external suppliers to drive resolution.

Skills

GD&T knowledge

Reading measurement data

Cross-functional collaboration

Analytical thinking

Statistics basics

Education

Bachelor's Degree in Engineering

Tools

NX System

Teamcenter

Job description

ALTEN Technology USA in Michigan is seeking a Dimensional Engineer to lead dimensional improvements on vehicle geometry, via part, tooling, or design actions, collaborating with cross-functional teams.

You will analyze complex parts with measurement systems (CMMs, laser trackers) and data from multiple sources to identify top issues and root causes, then work with production and quality teams to implement and validate solutions, while monitoring trends for variation reduction.