Then we may be looking for you.
The Engineering, Mechanical, Smart Factory & Big Data co-op student transforms existing processes into modern digitized processes using IIOT, and other modern computer hardware and software tools. Responsible for improving manufacturing processes, equipment/tooling alternatives, flow of operations for the effective utilization of personnel, material, machines and facilities necessary for the production of parts. In conjunction with Quality, Engineering and Operations work groups, takes a key role in the development and implementation of smart manufacturing cells and work processes.
Why You’ll Love Working Here:
Global Presence : Be part of a global company with diverse teams and the opportunity to work on international projects.
Career Advancement : Clear career paths and opportunities for advancement within the company.
Employee Well-being : Focus on employee health and well-being with various wellness programs and initiatives.
What You’ll Be Doing:
Develop automated process data acquisition and control of equipment
Assist and code the development of python, JavaScript, HTML, database, SQL, no-code and other apps to digitize the shop floor.
May help maintain and develop equipment utilizing machine learning techniques.
Work independently while taking initiative where appropriate from the office to the shop floor
Work closely with production and technical support resources and suppliers to ensure timely completion of projects
Develop knowledge and skills to be recognized for expertise and functional leadership in application of engineering principles, scientific analysis, continuous improvement and project management
Monitor and understand new technologies to improve quality and efficiency
Must be willing to work any assigned daily shift, weekends, and overtime as required
Coordinate continuous improvement initiatives
Works in compliance with Johnson Electric Quality and EHS Policies and Procedures, including IATF 16949 / ISO 9001 / ISO 14001
All other duties as assigned
Engineering, Mechanical, Mechatronics student, or similar, with preference for automotive parts or manufacturing background
Preference is for students in the latter years of their program
Excellent computer skills and experience using modern computer techniques (python, JavaScript, HTML)
Experience with open source software, hardware and techniques. Machine learning is considered an asset
Database and data manipulation skills with SQL, python, csv, etc.
Knowledge of Windows OS, Linux OS, and IIOT devices
Can-do attitude with desire to learn
Knowledge of PLC programming and robots is considered an asset
Ability to multitask by handling diverse assignments concurrently
Excellent communication skills (oral and written)
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