Dimensional Welding Engineer - Segula Technologies

Accelerate your career with a fast-growing global engineering group. At SEGULA Technologies, you'll work on exciting projects and help shape the future in a company where innovation is inextricably linked to engineering.

3D printing, augmented reality, autonomous vehicles, the factory of the future... it's all part of the daily lives of our 10,000 ingenious employees. Why not yours?

Whether next door or on the other side of the world, at SEGULA Technologies you'll find the opportunity that will give new meaning to your career!

• The Dimensional Engineer is responsible for leading dimensional improvements on vehicle geometry through part, tooling, or design actions.
• The engineer will work with team members to analyze complex parts and sub-assemblies (sheet metal, exterior and interior) using various measurement systems (example, Meisterbock, quality assurance fixtures, laser trackers, CMMs and In-Line Vision Stations).
• Perform data analysis, often organizing data from multiple sources to identify top issues and potential root causes.
• Work with production personnel and plant quality engineers to implement and validate proposed solutions.
• Verify effectiveness of corrective actions implemented through data analysis.
• Proactively monitor trend charts and work with cross-functional teams to drive variation reduction of critical product and process characteristics.
• Interact with suppliers, both internal and external, to communicate issues and drive resolutions.

Basic Qualifications:

• Bachelor's degree in engineering. Mechanical preferred
• Strong analytical and problem-solving skills. Knowledge in basic statistics and process control required
• Strong communication skills with ability to work with a cross-functional teams
• Understanding of GD&T and use of gauges and fixtures
• Proficient in Excel, PowerPoint and other Microsoft Office applications

Preferred Qualifications:

• Advanced degree preferred.
• Familiarity with metrology equipment for root cause diagnostics.
• Experience in using statistical analysis applications.
• Good data analysis skills. ex: Minitab or equivalent statistical package.
• Knowledge in advanced statistical concepts.

Join our innovative and forward-thinking organization, where you will have the opportunity to make a significant impact. We offer a competitive salary, comprehensive benefits package, and a supportive work environment.