AI-Driven Digital Manufacturing Intern

Oshkosh; Spartanburg (SC); On-site; USD 25,000 - 51,000; Full time

Job summary

Oshkosh Delivery is seeking a Digital Manufacturing Intern to work at the IT/OT intersection, deploying AI-enabled systems and data analytics solutions on the shop floor. You will contribute to production systems used by operations, engineering, quality, and maintenance teams.

The role emphasizes hands-on engagement with OT equipment and manufacturing analytics, with potential extension beyond summer. A strong foundation in IT and data platforms is essential.

Qualifications

• Pursuing a degree in Digital/Information Technology.
• Summer internship with potential extension; willing to relocate to Spartanburg, SC.
• Graduation date on/after May 2028; can work 20 hours/week during school year and 40 hours/week during breaks.
• GPA 3.0+.
• Completed at least Sophomore year.

Responsibilities

• Support deployment and integration of AI-enabled systems and data analytics platforms.
• Contribute to manufacturing analytics projects including AI-assisted work instructions and digital twin initiatives.
• Perform model training, edge deployment, system integration, and troubleshooting for production environments.
• Work with OT equipment (PLCs, HMIs, robots) to implement backups and integrations.
• Balance desk work with hands-on shop floor activities; assist with equipment installation and testing.
• Understand team and end-user requirements.

Skills

Programming languages (Python, Java, C

SQL

Linux/Unix

Git version control

AI/ML frameworks

Education

Digital/Information Technology degree

Graduation May 2028 or later

GPA 3.0+

Sophomore year completed

Tools

Databricks

Jupyter

Power BI

HighByte

Kepware

SCADA/PLC systems

Docker

Job description

Oshkosh Delivery is seeking a Digital Manufacturing Intern to work at the IT/OT intersection, deploying AI-enabled systems and data analytics solutions on the shop floor. You will contribute to production systems used by operations, engineering, quality, and maintenance teams.

The role emphasizes hands-on engagement with OT equipment and manufacturing analytics, with potential extension beyond summer. A strong foundation in IT and data platforms is essential.