GridOS Project Engineer, Co-Op/Intern

GE Vernova

GE Vernova GridOS intern applying AI and LLMs to diagnose and remediate electric utility network models. Supporting advanced distribution automation and intelligent grid solutions.

Posted 8/19/2026internshipBellevue • Washington • 🇺🇸 United StatesEntry Level💰 $1,000 - $2,000 per weekWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Power Systems Engineering and AI applications, with strong analytical skills for troubleshooting and validating complex models. Proficient in Python programming and data analytics, with a focus on developing intelligent workflows and automated reasoning frameworks.

Highest-signal resume keywords

Power Systems EngineeringPython ProgrammingAI and Machine LearningData AnalyticsModel Validation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Power Flow AnalysisFLISRVVOFault LocationFeeder ReconfigurationModel RemediationAutomated Reasoning FrameworksPrompt EngineeringTroubleshootingSolution Documentation

Soft Skills

Analytical SkillsProblem-SolvingCommunication Skills

Tools & Technologies

GISSCADA/EMSSQL DatabasesWeb Technology IntegrationWeb Services.NETSOA Technologies

Industry Keywords

Electrical EngineeringPower SystemsGenerative AILarge Language ModelsModeling Issues

Tech Stack

Tools & technologies

.NETPythonSQL

About the role

Key responsibilities & impact

Analyze extensive power system model validation and diagnostic logs
Develop AI/LLM-based approaches to detect, classify, and prioritize modeling issues
Investigate network model inconsistencies and determine probable root causes
Build intelligent workflows that suggest or prescribe corrective actions for model remediation
Analyze, troubleshoot, and support Distribution Automation functions including power flow analysis, FLISR, VVO, fault location, and feeder reconfiguration
Collaborate with Engineering teams and end customers to ensure reliable operation of advanced distribution capabilities
Own a subset of a project, integrating, configuring, and testing the assigned component
Work with internal delivery teams to obtain fixes and maintain the project schedule
Track issue resolutions and create detailed solution documentation and troubleshooting guides
Develop automated reasoning frameworks across GIS, SCADA/EMS, Customer Information Systems, and Planning and Engineering applications
Design prompt engineering, retrieval, agentic, or workflow-based solutions using modern LLM technologies
Evaluate AI-generated recommendations for accuracy, explainability, and operational value
Collaborate with software engineers, architects, and power system experts to prototype and validate solutions
Identify system problems and failures under general supervision
Research issues, obtain internal and external support, document findings, and present results to engineering leadership

Requirements

What you’ll need

B.S. or M.S. in Electrical Engineering (Power Systems specialization) or Computer Science
Candidates with a Power Systems or Computer Science background
Strong analytical and problem-solving skills
Programming experience in Python and data analytics
Excellent English communication skills, written and oral
Experience with AI, Machine Learning, Generative AI, or Large Language Models preferred
Interest in applying AI to power system modeling, validation, and automation preferred
Knowledge of Windows, .NET, SQL databases, web technology integration, web servers, web services, and SOA technologies preferred
Active participation in university projects involving software design, software integration, and/or power systems preferred
Minimum 3.0 GPA on a 4.0 scale or 4.0 GPA on a 5.0 scale, without rounding, preferred
Must be legally authorized to work in the United States for an unlimited amount of time without sponsorship
Successful completion of a drug screen, as applicable
Available for a 6–12 month internship, with 12 months preferred

Benefits

Comp & perks

Relocation assistance for reasonable, documented expenses when initially reporting to work and returning to school/home upon completion; eligibility requires a permanent address more than 50 miles from the work location
Weekly housing allowance when the permanent residence is at least 50 miles from the work location
Professional development opportunities
Challenging careers
Competitive compensation
U.S. internship roles are ineligible for GE Vernova benefits