Manufacturing Engineer - Assembly

EDAG IncWade Hampton, SC
2d

About The Position

EDAG (Production Solutions group) is your perfect partner for the planning, design, optimization and implementation of greenfield and brownfield manufacturing facilities, associated support facilities, and manufacturing / process equipment and systems. With a workforce of approx. 1,300 employees, and the knowledge and experience we have gained over several decades, we are multi-disciplinary innovators in the development of production plants. We are familiar with the challenges, legal requirements and, of course, all relevant issues relating to our customers’ production, and are able to provide optimum advice and active support for the reorganization or optimization of their plants. As engineers, we speak the same language as our customers and understand their problems and requirements. It goes without saying that we are fully committed to cost efficiency and the use of state-of-the-art processes and technologies. We transfer this know-how equally to our three business fields: automotive solutions, industrial solutions and mobility solutions. Worldwide.

Requirements

  • Preferred B.S. Engineering (or equivalent experience working in engineering role for 5+ years)
  • Keyence, Cognex, or similar camera skills
  • Strong critical thinking skills
  • Experience working with hands-on for process improvements
  • Experience with camera detection (Keyence, Cognex, etc.)

Nice To Haves

  • Preferred background with TOX or Kistler presses and data collection
  • Preferred background with leak testing
  • Preferred background in automotive or industrial assembly.
  • Preferred hands-on experience with Siemens HMIs / controls

Responsibilities

  • Improving / continuous improvement projects working hand-in-hand with MFE personnel
  • Updating routings in SAP and supporting in launches / industrialization of new variants
  • Creating work instructions, data setting sheets, and other documentation
  • Working with other MFEs and departments to improve OEE through process optimizations
  • Working with assembly teams to improve detection / cameras
  • Data analysis (scrap, quality, downtime) to define actions with the team
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