Intern AI Engineering

Generac Power Systems • Waukesha, WI

2d • Onsite

About The Position

Generac is seeking a highly motivated Master's-level Engineering Intern to join the AI Solutions team supporting Corporate Operations and Supply Chain. The internship provides hands-on experience at the intersection of artificial intelligence, advanced analytics, manufacturing operations, and supply chain optimization. The intern will work with business leaders, data scientists, engineers, and operational stakeholders to identify opportunities for AI, machine learning, automation, and digital technologies to improve efficiency, decision-making, quality, and customer outcomes. The position is required to be performed onsite at Generac's corporate headquarters in Waukesha, Wisconsin, during scheduled work hours.

Requirements

• Currently pursuing a master's degree in Industrial Engineering, Manufacturing Engineering, Systems Engineering, Mechanical Engineering, Data Science, Operations Research, Supply Chain Analytics, Computer Engineering, or a related discipline.
• Strong analytical, quantitative, and problem-solving skills.
• Experience with statistical analysis, quantitative modeling, or data analysis.
• Advanced proficiency in Microsoft Excel.
• Strong written and verbal communication skills, including the ability to explain technical concepts to varied audiences.
• Ability to work independently while collaborating effectively across functions.

Nice To Haves

• Experience with Python, R, SQL, or a similar programming language.
• Exposure to machine learning, artificial intelligence, predictive analytics, or optimization.
• Familiarity with manufacturing, supply chain, or operations environments.
• Experience with Power BI, Tableau, or another visualization platform.
• Knowledge of simulation, operations research, or process-improvement methodologies.
• Experience working with large datasets or cloud-based analytics environments.

Responsibilities

• Support the development, testing, and implementation of AI-enabled solutions for manufacturing, supply chain, quality, and corporate operations.
• Analyze operational and supply chain data to identify trends, inefficiencies, and opportunities for automation or process improvement.
• Assist in building data models, dashboards, predictive analytics, and decision-support tools using enterprise data.
• Collaborate with cross-functional stakeholders to gather business requirements and translate operational challenges into analytical solutions.
• Contribute to pilot projects involving machine learning, generative AI, optimization algorithms, process automation, and intelligent workflows.
• Research emerging AI technologies and industry practices relevant to manufacturing and supply chain environments.
• Prepare presentations and recommendations summarizing findings, potential business value, and implementation considerations.
• Document methodologies, results, and lessons learned to help scale successful solutions across the enterprise.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern