Micro-Grid Systems Engineering Summer Intern

About the Role

Generac is seeking a highly motivated Microgrid Controls Engineering Intern to join our Industrial Microgrid Controls Team in Fort Collins, Colorado for the summer of 2027. This position offers a unique opportunity to apply advanced data analytics, artificial intelligence, and power systems engineering to improve the performance, reliability, and operation of real-world microgrid deployments.

Key Responsibilities

Data Analytics & System Intelligence

• Analyze large data sets from deployed microgrid, energy storage, and distributed energy resource systems to identify trends, anomalies, reliability concerns, and optimization opportunities. Transform this operational data into actionable engineering recommendations.
• Develop advanced analytics, dashboards, and visualization tools to improve customer value, operational performance, and fleet-wide system insights.
• Infer from the above analysis what statistical, machine learning, and AI-based approaches may support predictive maintenance, fault detection, and root cause analysis efforts going forward.

Next-Generation Controls Validation

• Design and conduct off-nominal, fault, and edge-case testing scenarios to evaluate system robustness and reliability through model in the loop (MIL) and hardware in the loop (HIL) setups.
• Support verification and validation efforts for advanced microgrid control architectures.

AI & Engineering Productivity

• Develop AI agents and automation tools to enhance sales applications engineering, technical support, and internal engineering workflows.
• Investigate emerging AI technologies and their application to power systems, controls engineering, and customer support.

Systems Engineering & Innovation

• Support development of engineering standards, analytics processes, and best practices.
• Engage with Generac's academic and national laboratory partners to investigate emerging technologies and evolving industry challenges.

Requirements & Tech Stack

• Currently pursuing a Bachelor's or Master's degree in: Mechanical, Electrical, or Computer, Energy Systems Engineering, Data Science, Applied Math or related technical discipline.
• Strong interest in data analytics, machine learning, artificial intelligence, or large-scale technical data analysis.
• Ability to clean, analyze, visualize, and interpret complex data sets.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.