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MES IoT Co-Op

Genie, a Terex Brand
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Early Talent Program Overview:  

The Terex Early Talent Program immerses high potential students in challenging real-world projects which directly help drive business results at our global organization. Our rich beliefs in innovation and continuous improvement, paired with our students' diverse and creative mindsets, lead to the development of our best-in-class products, positively impacting the lives of people worldwide. 

We are committed to the personal and professional development of our students and are proud to encourage their growth into our leaders of tomorrow. 

 

Highlights: 

  • Partner with team members from global locations – 5 manufacturing locations worldwide. 
  • Co-op opportunities can lead to full time careers and the Genie Leadership Development Program 

 

Real World Responsibilities: 

During your time with us you will: 

  • Collaborate with value stream and technology teams to replace manual data collection and information sharing with automated digital solutions 
  • Create actionable information from process and/or tool performance data to continuously improve our manufacturing processes and ensure the safety and quality of products 

As part of our team we will: 

  • Provide you with real-work assignments that will provide you valuable experience as you begin your career 
  • Implement our internet of things platform in the manufacturing execution system (MES) to digitally enhance existing lean processes or replace legacy systems 

 

Must haves: 

  • Pursing a degree in data science, machine learning, engineering, computer science, or similar field 
  • Experience and comfortable with logical and functional programming with an understanding of data types 
  • An initiative and hands-on approach to problem solving  
  • Ability to confidently collaborate with a variety of team members  
  • Ability to work full-time for 6 months, part-time for 12 months, or a combination of the two 

 

Nice to haves: 

  • Experience with Low Code/No Code application building 
  • Experience programming with Python, JavaScript or NodeRed 
  • Experience connecting Internet of Things devices and collecting data 
  • Experience visualizing data to provide meaningful insight 

 

The compensation for this position is $26/hr for undergraduate interns and $28/hr for graduate or returning interns. This position is eligible for holiday pay.