Digital Manufacturing Intern

Cagayan State University; Spartanburg (SC); Hybrid; USD 25.000 - 51.000; Teilzeit

Zusammenfassung

Cagayan State University is seeking a student intern to assist with deploying AI-enabled systems, data analytics, and shop floor solutions across operations, engineering, quality, and maintenance teams.

You will contribute to AI-assisted work instructions, vision-based inspection, and digital twin initiatives while training models and supporting edge deployments on production systems.

Qualifikationen

• Pursuing a degree in Digital/Information Technology with a graduation date on or after May 2028.
• Availability to work 20 hours per week during the school year and 40 hours during winter/summer breaks.
• Minimum GPA of 3.0 or above.
• Completed at least Sophomore year coursework or equivalent.
• Programming experience in Python, JavaScript, C#, Java; SQL knowledge from coursework or hands-on projects.
• Experience with Linux/Unix command line and Git version control.
• Familiarity with analytics platforms such as Databricks, Jupyter, or Power BI.
• Understanding of networking fundamentals and firewall rules.
• Exposure to data integration or contextualization platforms like HighByte or Kepware.
• Familiarity with SCADA systems, PLCs, or industrial robot automation systems.

Aufgaben

• Support deployment and integration of AI-enabled systems, data analytics platforms, and shop floor solutions for operations, engineering, quality, and maintenance teams.
• Contribute to manufacturing analytics projects including AI-assisted work instructions, image inspection, and digital twin initiatives.
• Perform model training, edge deployment, system integration, and troubleshoot production environments using SQL and SCADA/MQTT systems.
• Work with OT equipment including PLCs, HMIs, and robots to implement backup and version control.
• Balance desk work with hands-on shop floor activities including equipment installation, testing integrations, and resolving production issues.
• Collaborate within a team to understand requirements and support end users effectively.
• Other duties as assigned.

Kenntnisse

Python

JavaScript

C#

Java

SQL

Linux/Unix

Git

Docker

PyTorch

TensorFlow

OpenCV

scikit-learn

Databricks

Jupyter

Power BI

Networking basics

HighByte

Kepware

SCADA

PLCs

Industrial robots

Ausbildung

Pursuing a degree in Digital/Information Technology

Sophomore year coursework or equivalent

Tools

Databricks

Jupyter

Power BI

Jobbeschreibung

Your Role

Here’s what you will be doing:

• Support deployment and integration of AI-enabled systems, data analytics platforms, and shop floor solutions used by operations, engineering, quality, and maintenance teams.
• Contribute to manufacturing analytics projects including AI-assisted work instructions, mobile image inspection, vision systems for quality control, and digital twin initiatives.
• Perform model training, edge deployment, system integration, and troubleshooting for production environments using SQL, data contextualization platforms, and SCADA/MQTT systems.
• Work with OT equipment including PLCs, HMIs, and robots to implement backup, version control, and integration solutions.
• Balance desk-based technical work with hands-on shop floor activities including equipment installation, testing integrations, and resolving production issues.
• Understand the requirements and expectations within a team environment and end user population that relies upon that support structure.
• Other duties as assigned.

About You

The company is looking for:

• Student pursuing a degree focusing on Digital/Information Technology.
• Willingness to commute or relocate to Spartanburg, SC.
• Graduation date on or after May 2028 with availability to work 20 hours a week during the school year and 40 hours a week over winter/summer breaks.
• Cumulative GPA of 3.0 or above.
• Completed at least Sophomore year coursework or equivalent.
• Programming experience in Python, JavaScript, C#, Java, or similar languages.
• SQL knowledge through coursework or hands-on experience.
• Familiarity with Linux/Unix command line.
• Experience with analytics platforms such as Databricks, Jupyter, or Power BI.
• Understanding of networking fundamentals and firewall rules.
• Exposure to data integration or contextualization platforms like HighByte or Kepware.
• Familiarity with SCADA systems, PLCs, or industrial robot automation systems (Ignition, Rockwell, Siemens, Fanuc).
• Git version control experience.
• Docker or containerization experience.
• Experience with AI/ML frameworks such as PyTorch, TensorFlow, OpenCV, or scikit-learn.

Compensation & Benefits

• Pay range: $18.00 - $37.00 per hour, varying by location, experience, education, and skills.
• Competitive total rewards package.
• People-first culture with opportunities supporting team member growth and success.