Project Engineer – Co-Op/Intern

GE Vernova

. Analyze extensive power system model validation and diagnostic logs .

Posted 9/29/2026full-timeAtlanta • Washington • United StatesEntry Level💰 $1,000 - $2,000 per weekWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong analytical and problem-solving capabilities in power system modeling and automation, with proficiency in Python and data analytics. Familiarity with AI, Machine Learning, and Large Language Models is essential for developing innovative solutions in this domain.

Highest-signal resume keywords

Python ProgrammingData AnalyticsAI/ML Application in Power SystemsPower System Model ValidationExcellent English Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Power System AnalysisModel ValidationTroubleshootingAutomated Reasoning FrameworksPrompt EngineeringData AnalysisSoftware DesignSoftware IntegrationModeling Issue ClassificationRoot Cause Analysis

Soft Skills

Analytical SkillsProblem-Solving SkillsCollaborationCommunication Skills

Tools & Technologies

GISSCADA/EMSSQL Databases.NETWeb Technology IntegrationWeb ServicesSOA Technologies

Industry Keywords

Power SystemsDistribution AutomationFLISRVVOFeeder ReconfigurationModel RemediationAI-Generated RecommendationsGenerative AILarge Language ModelsHybrid Work Environment

Tech Stack

Tools & technologies

PythonSQL.NET

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 prescribing suggestive or 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 and integrate, configure, and test that project component
Work with internal delivery teams to obtain timely fixes and maintain project schedules
Track issue resolutions and create 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 and research solutions using internal and external resources
Document research findings and present results to engineering leadership

Requirements

What you’ll need

Currently enrolled in a B.S. or M.S. Electrical Engineering program with Power Systems specialization or a Computer Science program at an accredited university or college
Strong analytical and problem-solving skills
Programming experience in Python and data analytics
Excellent English communication skills, written and oral
Required work location: Bellevue, WA or Atlanta, GA, hybrid with 2 days in office and 3 days remote
Ability to work in the United States for an unlimited amount of time without sponsorship
Experience or interest in 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 system experience preferred
Minimum 3.0 on a 4.0 scale or 4.0 on a 5.0 scale cumulative GPA without rounding preferred
Legally authorized to work in the United States
Successful completion of a drug screen, as applicable

Benefits

Comp & perks

Relocation assistance for reasonable, documented travel expenses when initially reporting to work and returning to school/home upon assignment completion, subject to eligibility
Weekly housing allowance when the permanent residence is at least 50 miles from the work location
Professional development opportunities
Challenging careers
Competitive compensation
Inclusive work environment
Equal employment opportunity
U.S. Internship roles are ineligible for GE Vernova benefits