Digital Manufacturing Intern
Oshkosh Corporation · Spartanburg, United States · 2 days ago
Industry 4.0 / Digital Manufacturing EngineerOn-siteInternship / GraduateVisa: case by caseRelocation support
About the role
About Oshkosh Delivery, an Oshkosh company
Oshkosh Delivery designs and manufactures advanced last-mile and commercial delivery vehicles, building on Oshkosh Corporation’s engineering and manufacturing capabilities.
Summary:
This Digital Manufacturing Intern supports the Digital Technology team at the IT/OT intersection — deploying AI-enabled systems, data analytics platforms, and shop-floor integration solutions used by operations, engineering, quality, and maintenance.
YOUR IMPACT
- Support deployment and integration of AI-enabled systems, data analytics platforms, and shop-floor solutions
- 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
MINIMUM QUALIFICATIONS
- Student pursuing a degree focusing on Digital/Information Technology
- Summer internship with potential to extend year-round; must be willing to commute or relocate to Spartanburg, SC
- Graduation date on or after May 2028; able to work 20 hrs/week during school year and 40 hrs/week over winter/summer breaks
- Cumulative GPA of 3.0 or above
- Completed at least Sophomore year coursework (or equivalent)
STANDOUT QUALIFICATIONS
- Programming in Python, JavaScript, C#, Java, or similar
- SQL; Linux/Unix command line; analytics platforms (Databricks, Jupyter, Power BI)
- Networking fundamentals; data integration/contextualization platforms (HighByte, Kepware, or similar)
- Familiarity with SCADA, PLCs, or industrial robots (Ignition, Rockwell, Siemens, Fanuc)
- Git; Docker/containerization; AI/ML frameworks (PyTorch, TensorFlow, OpenCV, scikit-learn)
Pay range: $18.00–$37.00 per hour (US locations). Req R51065. Certain roles may involve ITAR/EAR controlled goods (U.S. Person requirements may apply).