Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
GE Vernova

Project Engineer – Co-Op/Intern

GE Vernova

. Analyze extensive power system model validation and diagnostic logs .

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

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

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

Highest-signal resume keywords
Python ProgrammingData AnalyticsAI/ML TechnologiesPower System ModelingExcellent English Communication

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Power System AnalysisModel ValidationTroubleshootingAutomated Reasoning FrameworksPrompt EngineeringData ClassificationRoot Cause AnalysisWorkflow DevelopmentGIS IntegrationSCADA/EMS
Soft Skills
Analytical SkillsProblem-SolvingCollaborationDocumentationCommunication
Tools & Technologies
Windows.NETSQL DatabasesWeb Technology IntegrationWeb ServicesSOA Technologies
Industry Keywords
Distribution AutomationPower Flow AnalysisFLISRVVOFeeder ReconfigurationModel RemediationAI in Power SystemsGenerative AILarge Language ModelsSoftware Design

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 that prescribe 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 fixes and maintain project schedules
  • Track issue resolutions and create 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, research issues, and obtain support from 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 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 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 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 eligible co-op/interns
  • Weekly housing allowance for eligible co-op/interns
  • Professional development
  • Challenging careers
  • Competitive compensation
  • Equal Opportunity Employer
  • U.S. Internship roles are ineligible for GE Vernova benefits