Machine Risk Analysis Intern

STIHL • Virginia Beach, VA

2d • $20

About The Position

We are more than just chainsaws, blowers, and trimmers. We have a long-standing tradition of hiring diverse, talented people who help make STIHL a successful, world-class brand. Since revolutionizing the forestry industry in Germany with the first electric chainsaw in 1926, the STIHL name has remained synonymous with outstanding innovation, high-quality products, and comprehensive services.

As part of our internship program, students will have the opportunity to:

Gain hands-on, real-world experience within a leading industry, working on meaningful projects that contribute to day-to-day operations and long-term initiatives
Volunteer to assist with company events such as the Family Picnic, Employee Summit, Manufacturing Technology Summer Camp, and other events as needed.
Complete a final presentation outlining their internship experience, which may be presented to their direct supervisor and colleagues.
Gain hands-on exposure to projects, team collaboration, and professional development opportunities designed to prepare them for future careers.
Participate in learning sessions, networking opportunities, and community-building activities across the organization.
Join us for an exciting summer!  We have an exciting opportunity for you to join our Process Engineering team as a Machine Risk Analysis intern.

As a Process Engineer Intern, you will be exposed to hands-on data collection, system analysis, and risk assessment initiatives that support manufacturing continuity and production reliability. This role offers the opportunity to work closely with engineering teams to address real-world challenges related to technology obsolescence within automated manufacturing systems.

In this role, you will support the Engineering team by gathering and documenting automation component data across assembly equipment, including PLCs, controllers, and network components. You will help build and maintain a centralized SharePoint-based database and collaborate with the team to analyze the data to identify obsolescence risks, support informed decision-making and proactive production planning.

Requirements

• Academic Year: Sophomore, Junior
• Area of Study: Computer Science, Engineering
• Software Experience: SharePoint

Responsibilities

• Work with the Engineering team to identify and document automation components for assembly machines
• Log component data into a centralized SharePoint database
• Support the development of a structured system to track component obsolescence and associated risk
• Assist with data analysis to help assess replacement challenges and potential production impacts
• Collaborate with cross-functional stakeholders to ensure accuracy and completeness of collected data
• Contribute to efforts that support reduced downtime and improved production continuity

What This Job Offers

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