GridOS Project Engineer, Co-Op/Intern

Jobtailor

Bellevue (WA)

On-site

USD 38,000 - 60,000

Full time

5 days ago

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Benefits offered by this job

Six to twelve month internship

Job summary

Jobtailor in Bellevue, WA offers a six to twelve month internship focused on power systems modeling, AI/LLM-based diagnostics, and automated remediation workflows.

You will analyze, validate, and optimize distribution models, collaborate with engineering teams, and gain hands-on experience deploying AI tools across GIS, SCADA/EMS, SQL databases, and web services.

Qualifications

B.S./M.S. in 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, written and oral.
Experience with AI, Machine Learning, Generative AI, or Large Language Models preferred.

Responsibilities

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.

Skills

Analytical skills

Python

Data analytics

AI/ML experience

English communication

Education

B.S./M.S. in Electrical Engineering (Power Systems) or Computer Science

Power Systems or CS background

Tools

Python

SQL databases

Windows/.NET

Web services

GIS/SCADA/EMS

Job description

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

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

Core Competencies

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.

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