Digital Manufacturing Intern

oshkoshcorporation; Spartanburg (SC); On-site; USD 25,000 - 51,000; Part time

Job summary

Oshkosh Delivery in Spartanburg, SC is seeking a Digital Manufacturing Intern to join the Digital Technology team at the IT/OT intersection, deploying AI-enabled systems and data analytics on the shop floor.

You will contribute to production systems, support AI-assisted work instructions, vision-based quality controls, and digital twin initiatives while gaining hands-on experience with PLCs, HMIs, and OT equipment.

Qualifications

• Pursuing a degree in Digital/Information Technology.
• Willing to relocate to Spartanburg, SC for internship.
• Graduation date on or after May 2028; 20 hours/week during school year and 40 hours/week during breaks.
• GPA 3.0+; Sophomore year completed.
• Experience with Python or similar in coursework/projects.

Responsibilities

• Assist deployment and integration of AI-enabled systems and data analytics on shop floor.
• Support manufacturing analytics projects including AI-assisted work instructions and vision-based quality control.
• Perform model training, edge deployment, and system integration in production environments.
• Collaborate with OT equipment (PLCs, HMIs, robots) for backups and integrations.

Job description

About Oshkosh Delivery, an Oshkosh company

Oshkosh Delivery is dedicated to redefining the future of last-mile and commercial delivery. Built on Oshkosh Corporation's legacy of engineering excellence and innovation, we design and manufacture advanced delivery vehicles that are durable, efficient, and sustainable. With a focus on reliability, driver experience, and cutting-edge technology, Oshkosh Delivery empowers fleets and businesses to move goods smarter, safer, and with confidence, today and for the road ahead.

Summary

This Digital Manufacturing Intern supports our Digital Technology team's work at the IT/OT intersection - deploying AI-enabled systems, data analytics platforms, and shop floor integration solutions. The role will contribute directly to production systems used by operations, engineering, quality, and maintenance teams.

YOUR IMPACT

• 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.

MINIMUM QUALIFICATIONS

• Student pursuing a degree focusing on Digital/Information Technology.
• This is a summer internship with potential to be extended to year-round. Individual must be willing to commute or relocate to Spartanburg, SC to be considered.
• Graduation date on or after May 2028 with the ability 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).

STANDOUT QUALIFICATIONS

• Programming experience in Python, JavaScript, C#, Java, or similar languages (coursework or projects demonstrating scripting and data manipulation)
• SQL knowledge (coursework or hands-on experience with databases and queries)
• Familiarity with Linux/Unix command line
• Experience with analytics platforms (Databricks, Jupyter, Power BI, or similar)
• Understanding of networking fundamentals and firewall rules
• Exposure to data integration or contextualization platforms (HighByte, Kepware, or similar)
• Familiarity with SCADA systems, PLCs, or industrial robot automation systems (Ignition, Rockwell, Siemens, Fanuc)
• Git version control
• Docker or containerization experience
• Experience with AI/ML frameworks (PyTorch, TensorFlow, OpenCV, scikit-learn

We put people first. We do the right thing. We persevere. We are better together.

Pay Range

$18.00 - $37.00

The above pay range reflects the minimum and maximum target pay for the position across all U.S. locations. Within this range, individual pay is determined by various factors, including the scope and responsibilities of the role, the candidate's experience, education and skills, as well as the equity of pay among team members in similar positions. Beyond offering a competitive total rewards package, we prioritize a people-first culture and offer various opportunities to support team member growth and success.

Oshkosh is committed to working with and offering reasonable accommodation to job applicants with disabilities. If you need assistance or an accommodation due to disability for any part of the employment process, please contact us at [e-mail].

Oshkosh Corporation is a merit-based Equal Opportunity Employer. Job opportunities are open for application to all qualified individuals and selection decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or other protected characteristic. To the extent that information is provided or collected regarding categories as provided by law it will in no way affect the decision regarding an employment application.

Oshkosh Corporation will not discharge or in any manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to i