Engineering Co-Op: CAD Design & Lab Testing (Onsite)

Crane Pumps & Systems Inc.; Piqua (OH); Hybrid; USD 25,000 - 39,000; Full time

Job summary

Crane Pumps & Systems Inc. in Piqua, Ohio is seeking a Engineering Co-Op for Summer 2027 to provide hands-on engineering support.

The role involves product design, CAD documentation, and lab work on projects serving industrial, municipal, and military markets. You will prepare drawings, maintain BOMs, collaborate with manufacturing, marketing, and suppliers, and help drive product improvement through testing and data analysis.

Qualifications

• Pursuing a bachelor's degree in Mechanical, Mechanical Tech, or Electrical Engineering.
• Experience with modeling software such as SolidWorks.
• Strong written and verbal communication skills.
• Ability to write reports and technical instructions.
• Attention to detail and accuracy.
• Ability to read and interpret engineering docs and specifications.
• Willingness to operate safely in factory environments and perform lab tasks.

Responsibilities

• Prepare layout drawings, assemblies, and perform dimensional analysis.
• Create and maintain Bills of Material structures.
• Design new or modified products using CAD tools.
• Collaborate with cross-functional teams across engineering, manufacturing, sales, and suppliers.
• Support lab testing and product verification activities.
• Assist with product improvement opportunities and data collection.

Skills

Strong communications

Organization skills

Report writing

Education

B.S. Mechanical Engineering

B.S. Mechanical Tech

B.S. Electrical Engineering

Tools

SolidWorks

MS Office Suite

Job description

Crane Pumps & Systems Inc. in Piqua, Ohio is seeking a Engineering Co-Op for Summer 2027 to provide hands-on engineering support.

The role involves product design, CAD documentation, and lab work on projects serving industrial, municipal, and military markets. You will prepare drawings, maintain BOMs, collaborate with manufacturing, marketing, and suppliers, and help drive product improvement through testing and data analysis.