Digital Manufacturing Intern
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. Work includes manufacturing analytics initiatives, model training and edge deployment, system integration, troubleshooting, and hands-on work with industrial equipment in production environments. The internship is based in Spartanburg, South Carolina, and is scheduled for 20 hours per week during the school year and 40 hours per week during winter and summer breaks. It is a summer internship with the potential to continue year-round.
Requirements
- Pursuing a degree focused on Digital or Information Technology.
- Graduation date on or after May 2028.
- Able 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.
- Willing 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.
- Git version-control experience.
- Docker or 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 for 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, testing integrations, and resolving production issues.
- Understand team and end-user requirements and expectations for the support structure.
- Perform other duties as assigned.
Benefits
- Competitive total rewards package
- Opportunities to support team member growth and success
- Reasonable accommodation for applicants with disabilities
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Career Level
Intern
Education Level
No Education Listed
