Micro-Grid Systems Engineering Co-Op / Summer Intern

Generac Power SystemsGenerac Power SystemsFort Collins, Colorado, United States
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Posted

10/2/2026

Employment

Part time, Internship

Range

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Work style

On-site

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AI summary

Core responsibilities

The intern will analyze operational data from microgrid systems to identify performance improvements and develop predictive insights. They will also validate next-generation control strategies using Hardware-in-the-Loop testing and contribute to AI-driven engineering automation.

Requirements overview

Candidates must be currently pursuing a Bachelor's or Master's degree in Engineering, Data Science, Applied Math, or a related technical field. Strong analytical skills and the ability to interpret complex data sets are required.

Key skills

Data AnalyticsMachine LearningArtificial IntelligencePower Systems EngineeringMicrogrid ControlsHardware-in-the-Loop (HIL)Model-in-the-Loop (MIL)Predictive MaintenanceFault DetectionRoot Cause AnalysisData VisualizationAutomation ToolsSystems EngineeringEnergy StorageDistributed Energy Resources

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Education requirements

bachelor degreepostgraduate degree

About Generac Power Systems

Industry

Electric Power Generation

Employees

4,413

Type

Public Company

Size

5,001-10,000 employees

Generac is the total energy solutions company powering a smarter world. We help free people to use energy on their own terms by giving them access to reliable energy that is also cleaner, more efficient and better managed. We do this by making homes a sanctuary where people have reliable power so they can safely and comfortably work, learn and entertain. Around the world, our commercial and industrial solutions are trusted to power and support businesses and critical infrastructure to protect against the challenges of an aging power grid, increasingly severe weather and escalating energy demands and rising rates.  As an industry pioneer, we are relentlessly focused on the future of energy management. We’re ushering in a new era of energy solutions where we are exploring new technologies, delivering connected solutions and protecting against increasing energy costs for consumers and commercial users.

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Job categories

EngineeringEnergyData & AnalyticsTechnologyScience & Research

Description

We believe power is a promise - a shared commitment to be there for others when it matters most. For more than 65 years, we've turned big ideas into solutions that help protect homes, strengthen businesses and build a more resilient, efficient, sustainable energy future. Ready to Power a Smarter World with us? At Generac, we are accelerating the transformation of the electric grid through advanced microgrid technologies, distributed energy resources (DERs), and intelligent control systems. We are seeking a highly motivated Microgrid Controls Engineering Intern/Co-Op to join our Industrial Microgrid Controls Team in Fort Collins, Colorado. 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. Working alongside experienced controls, software, and power systems engineers, you will analyze operational data from fielded systems, identify performance improvement opportunities, develop predictive insights, validate next-generation control strategies through Hardware-in-the-Loop (HIL) testing, and contribute to the future of intelligent energy systems. Unlike traditional engineering internships, this role provides direct exposure to operational microgrid assets and customer applications, where your work may directly influence future products, system architectures, and customer outcomes. Major 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. undefined Requirements Education 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. Certification / License Work Experience Knowledge / Skills / Abilities “We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law.”

Requirements

  • •Data Analytics
  • •Machine Learning
  • •Artificial Intelligence
  • •Power Systems Engineering
  • •Microgrid Controls
  • •Hardware-in-the-Loop (HIL)
  • •Model-in-the-Loop (MIL)
  • •Predictive Maintenance
  • •Fault Detection
  • •Root Cause Analysis
  • •Data Visualization
  • •Automation Tools
  • •Systems Engineering
  • •Energy Storage
  • •Distributed Energy Resources

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