Digital Manufacturing Intern

Oshkosh • Spartanburg, SC

1d

About The Position

The Digital Manufacturing Intern supports Oshkosh Delivery’s Digital Technology team at the intersection of information technology and operational technology. The intern helps deploy AI-enabled systems, data analytics platforms, and shop floor integration solutions used by production, operations, engineering, quality, and maintenance teams. The role includes manufacturing analytics initiatives such as AI-assisted work instructions, mobile image inspection, quality-control vision systems, and digital twins. Work involves model training, edge deployment, system integration, and troubleshooting in production environments, as well as hands-on work with industrial equipment. This is a summer internship with potential to continue year-round. The candidate must be able to commute or relocate to Spartanburg, South Carolina.

Requirements

• Pursuing a degree focused on Digital or Information Technology.
• Graduation date on or after May 2028.
• Ability to work 20 hours per week during the school year and 40 hours per week during winter and summer breaks.
• Cumulative GPA of 3.0 or above.
• Completed at least sophomore-year coursework or equivalent.
• Willingness to commute or relocate to Spartanburg, South Carolina.

Nice To Haves

• Programming experience in Python, JavaScript, C#, Java, or similar languages, demonstrated through coursework or projects involving scripting and data manipulation.
• SQL knowledge through coursework or hands-on database and query experience.
• Familiarity with the 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 such as HighByte or Kepware.
• Familiarity with SCADA systems, PLCs, or industrial robot automation systems such as Ignition, Rockwell, Siemens, or Fanuc.
• Experience with Git version control.
• Docker or other containerization experience.
• Experience with AI/ML frameworks such as PyTorch, TensorFlow, OpenCV, or scikit-learn.

Responsibilities

• 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 production-environment troubleshooting 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, integration testing, and resolving production issues.
• Understand the requirements and expectations of the team and the end-user population that relies on its support.
• Perform other duties as assigned.

What This Job Offers

• Career Level: Intern
• Education Level: No Education Listed