GE Vernova GridOS Project Engineer - Co-Op​/Intern

GridOS Project Engineer Co-Op/Intern

Addressing the climate crisis is an urgent global priority, and at GE Vernova, we take our responsibility seriously. That is the singular mission of GE Vernova: to continue electrifying the world while simultaneously working to help decarbonize it.

Are you passionate about innovation? Are you excited at the opportunity to electrify and decarbonize the world? We operate with a founder’s mindset. We deliver innovation with passion, speed, and courage. We continuously challenge our thinking and are empowered to dream big and take smart risks.

GE Vernova is seeking a highly motivated graduate student intern to help advance the use of Artificial Intelligence and Large Language Models (LLMs) in electric utility network model validation, diagnostics, and automated remediation. This co‑op/internship focuses on applying AI/LLM technologies to analyze large‑scale power system model validation and diagnostic data, identify model quality issues, determine root causes, and recommend corrective actions across utility enterprise systems.

The work will contribute to the next generation of intelligent model management solutions used by electric utilities worldwide. The ideal candidate combines strong knowledge of electric power systems with practical experience using AI/LLMs for data analysis, reasoning, and automation. Candidates with a Power Systems or Computer Science background is a must.

Employment Dates:
January 2027 – June 2027 or up to 12 months.

Contract Type:
Co‑Op / Internship (6–12 months; 12 months preferred).

Work Location:

Bellevue, WA or Atlanta, GA – Hybrid (2 days in office and 3 days remote).

Right to Work:
Must have the ability to work in the United States for an unlimited amount of time without sponsorship.

• 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.
• Support and perform analysis, troubleshooting, and support of key Distribution Automation functions—including power flow analysis, fault isolation and service restoration (FLISR), Volt‑VAR optimization (VVO), fault location, and feeder reconfiguration.
• Collaborate with Engineering teams and end customers to ensure reliable, effective, and sustained operation of these advanced distribution capabilities.
• May own a subset of a project and be responsible for integrating, configuring, and testing this piece of the project, which contributes to the overall solution.
• Works with other internal delivery teams to obtain fixes on a timely basis to support maintaining the project schedule.
• Assists with tracking resolutions to issues and creates detailed documentation of solutions implemented and troubleshooting guides.
• Develop automated reasoning frameworks that can operate across multiple utility domains, including GIS (Geographic Information Systems), SCADA/EMS systems, Customer Information Systems, 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.
• Under general supervision, works to identify system problems and failures.
• Pursues solutions to system problems by researching issue and obtaining support from both internal and external resources.
• Document research findings and present results to engineering leadership.

• B.S. or M.S. Electrical Engineering (Power Systems specialization) or Computer Science.
• Strong analytical and problem‑solving skills.
• Programming experience in Python and data analytics.
• Excellent English communication skills – both written and oral.

• Experience with AI, Machine Learning, Generative AI, or Large Language Model.
• Interest in applying AI to power…