Job Title:

Power Systems Software Engineer Student Employee

Location:

Remote/Home Based

Job Summary and Description:

This is an exciting internship opportunity for a motivated student to play a meaningful role in modernizing critical power systems R&D software. You will contribute to the transition of our existing monolithic applications - centered around the Grid Analysis Toolkit (GAT) and Automation of Outage Coordination (AOC) - into a modern microservices architecture combined with a multi-agent AI platform.

You will help design, develop, and test new services and intelligent agents that will make power system analysis faster, more reproducible, scalable, and intelligent. This is a hands-on role where you will work directly with experienced power systems engineers on real research software that supports grid modernization.

Duties & Responsibilities

• Design and develop microservices (primarily in Python/FastAPI) for key capabilities such as data ingestion, topology processing, power flow, contingency analysis, and outage coordination.

• Implement and integrate AI agent workflows (using frameworks like LangGraph) that orchestrate complex research tasks and interact with the new microservices.

• Wrap and modernize existing GAT library functions (topology processing, power flow, contingency analysis, model processing, time-series ingestion) into scalable services.

• Build supporting infrastructure components (Docker containers, CI/CD pipelines, observability) on Microsoft Azure.

• Ensure high reproducibility of results using tools such as MLflow and containerization.

• Document technical designs, methodologies, and results; contribute to internal reports and presentations.

• Participate in code reviews, architecture discussions, and agile-style team collaboration.

• Support the gradual migration from the current monolith to the new architecture using incremental approaches.

Qualifications

Required:

• Currently completed a Master’s degree or pursuing PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field.

• Strong proficiency in Python.

• Solid understanding of power system fundamentals (power flow, contingency analysis, grid modeling, etc.).

• Experience (academic or personal projects) developing software applications.

• Interest in modern software architecture, cloud computing, and AI.

Preferred / Strong Plus:

• Experience with power systems analysis tools or libraries (GAT, PyPSA, MATPOWER, or similar).

• Familiarity with any of the following: FastAPI, Docker, Kubernetes (AKS), Azure cloud services, PostgreSQL, GitHub Actions, or MLflow.

• Exposure to microservices architecture, REST APIs, or event-driven systems.

• Experience or strong interest in building AI agents / LLM-based workflows.

• Knowledge of HTML5 / basic front-end development (a plus for building simple interfaces).

Ideal Candidate:

• Master’s student in Electrical/Computer Engineering with a focus on power systems software or software engineering for energy systems.

• Passionate about both power systems engineering and modern software practices.

• Strong analytical, problem-solving, technical writing, and presentation skills.

• Self-motivated, able to work independently in a remote setting while collaborating effectively.

What You Will Gain:

• Hands-on experience with cutting-edge software architecture (microservices + multi-agent systems) in a real power systems R&D environment.

• Deep exposure to Azure cloud technologies and DevOps practices.

• Opportunity to work with production-grade GAT and AOC tools that support grid reliability research.

• Mentorship from experienced power systems and software engineers.

• Valuable portfolio piece