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Schaeffler

Co-op Mechanical Engineering & Robotics 2026

Schaeffler

📍 Seguin, TX, United States 🇺🇸

internship
entry-level
Posted —
Key Skills
Robotics PLC Cobot CAD Minitab
Industry
Robotics Automotive

Job Description

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THE PROJECT

The Co-op will be assigned to the Robotics department in the Seguin, Texas Schaeffler Automotive plant. In addition, the Co-op will collaborate closely with the engineering and manufacturing teams on a daily basis, contributing to a range of innovative and technically challenging projects. This role is an excellent opportunity for a working student to gain practical experience alongside their studies.

  • Gain understanding of robotic functions, programming, and uses
  • Gain understanding of PLC to Cobot interface
  • Develop controlled experiments to characterize robot capabilities for new use cases
  • Collect and analyze maintenance data to develop a preventative maintenance plan for robot arms
  • Gain understanding of best practices and methods for CAD modeling and drawings
  • Work with experienced engineers to implement new robot use cases
  • Monitor robotic implementations for continuous improvement opportunities

THE OUTCOME

  • Understanding of robotics use cases in modern manufacturing environment
  • Clear understanding of programming, advantages, and drawbacks for industrial vs collaborative robotic arms
  • Recommendations for enhanced robotic uses in manufacturing lines

Basic Qualifications

  • High school diploma or equivalent
  • Must be pursuing a Bachelor’s degree in Mechanical Engineering or related field
  • Maintain a 2.5 GPA or higher per semester
  • Must be able to present scope and outcome of project to management
  • Solidworks CAD experience
  • Good interpersonal skills

Physical Requirements

  • Must be able to stand/climb/stoop/bend/carry up to 28 pounds

Preferred Qualifications

  • PLC programming experience
  • Robotic programming experience
  • Electronics knowledge + ability to troubleshoot using schematics
  • Minitab Statistical software experience
  • Strong data analysis skills

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