Intern, Manufacturing Intelligence

Manufacturing Intelligence Solutions Intern About GPA: GPA has delivered flexible, innovative, and fully integrated solutions using best-of-breed technologies for more than 25 years. GPA has a company culture where team members enjoy coming to work every day and new and innovative ways of thinking are encouraged. Description: The Manufacturing Intelligence (MI) Intern will support GPA’s MI team through a combination of hands-on technical project work, operational support activities, and structured professional development. This role is intended for students pursuing a career in software development, industrial automation, manufacturing intelligence, or digital transformation within manufacturing environments. The selected candidate will work directly with experienced engineers, developers, and project personnel while gaining exposure to real-world manufacturing systems including SCADA, MES, industrial historians, dashboards, reporting systems, and OT/IT infrastructure. In addition to technical responsibilities, the intern will assist with general office and administrative support tasks and complete prescribed technical and professional development training through GPA University. Responsibilities: Assist the Manufacturing Intelligence team with software development, testing, and troubleshooting activities Support development of dashboards, reports, KPI visualizations, and data collection applications Assist with SQL queries, database management, and basic data analysis tasks Participate in configuration and testing of manufacturing systems including MES, SCADA, and historian platforms Assist with documentation including workflows, system configurations, and technical procedures Participate in internal project meetings, discovery workshops, and engineering discussions Perform general office support and miscellaneous operational tasks as assigned Complete assigned technical and professional development training through GPA University Learn and apply manufacturing standards, operational workflows, and digital transformation methodologies Preferred Candidate Profile The ideal candidate is a student entering their junior or senior year pursuing a degree in: Computer Science Computer Engineering Electrical Engineering Industrial Engineering Information Technology Related technical discipline The ideal candidate should also possess: Familiarity with basic programming methodologies and software development concepts A foundational understanding of computer networking and machine communications Strong problem-solving and troubleshooting abilities Good organizational and communication skills A willingness to learn and work within industrial and manufacturing environments The ability to manage multiple tasks and responsibilities simultaneously Preferred Technical Exposure Experience or coursework in any of the following areas is considered beneficial: SQL databases Python, JavaScript, C#, or similar programming languages PLCs and industrial automation systems SCADA or HMI platforms Networking fundamentals Industrial communication protocols Manufacturing systems and data analytics Ignition, MQTT, MES, or historian platforms