Engineering Intern PT

Crane Company•Twinsburg, OH
•Onsite

About The Position

Reuter-Stokes, at the Crane Nuclear site in Twinsburg, Ohio, manufactures sensors for harsh environments used in neutron radiation measurement, nuclear reactor power monitoring, UV flame detection, and downhole radiation detection for oil and gas exploration. The Engineering Intern supports daily manufacturing operations and carries out independent projects to develop and recommend improvements that make manufacturing safer, more efficient, and more productive. Work includes process improvement and optimization, production documentation, and continuous improvement.

Requirements

  • Currently working toward a bachelor's degree in engineering.
  • Basic understanding of engineering principles and some exposure to project planning, scheduling, and budgeting.
  • Knowledge of engineering fundamentals and experience solving testing problems involving interfaces with existing equipment, while considering human engineering aspects.
  • Ability to perform engineering calculations relevant to product development and testing.
  • Excellent verbal and written communication skills.
  • Prior experience with SolidWorks.
  • Proficiency with Microsoft Excel, Word, and PowerPoint.

Responsibilities

  • Develop product and process knowledge to support manufacturing operations and continuous improvement initiatives.
  • Assist in creating and revising manufacturing travelers, routers, and work instructions to improve process accuracy and efficiency.
  • Support evaluation and disposition of non-conforming materials, products, and equipment with quality and engineering teams.
  • Collaborate with Product Line, Quality, Manufacturing, and Engineering teams on product development and continuous improvement initiatives.
  • Participate in root cause analysis and troubleshooting to resolve product and process failures.
  • Collect and analyze production and quality data to identify trends and recommend process improvements.
  • Contribute to scrap reduction and continuous improvement projects through process optimization and data-driven problem solving.
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