Power Systems Engineering Intern

The role

You will help model how a network of distributed residential batteries interacts with the grid at distribution and transmission levels. You will work on power flow studies, grid models, and battery deployment and dispatch analysis.

What you will do

• Help design and run power flow studies for Base battery aggregation use cases.
• Build and validate distribution and transmission system models using standard test topologies.
• Write Python to automate studies to be solved programmatically and run on a recurring basis.
• Analyze and visualize study results and grid data.
• Turn results into clear recommendations.
• Compile and present results to power systems engineers and the Risk & Trading team.
• Own a scoped project end to end from defining the study to presenting findings.

Required qualifications

• Currently pursuing a degree in Electrical Engineering, Power Systems, or a related technical field.
• Coursework, research, or project experience in power systems: power flow, per-unit systems, and three-phase analysis.
• Proficiency in Python for data analysis and visualization (e.g., pandas, NumPy, matplotlib).
• A strong foundation in linear algebra and numerical methods (e.g., Newton-Raphson).
• A strong ownership mindset and the ability to clearly explain your assumptions, methods, and results.

Nice to have

• exposure to power flow tools such as OpenDSS, GridLAB-D, CYME, PSS/E, PowerWorld, PyPSA, or pandapower
• exposure to optimal power flow and electricity markets (e.g., ERCOT)

About the company

Base is America’s next-generation power company rebuilding the foundation of modern civilization by deploying a vast network of distributed batteries. They are engineers, operators, and creatives solving complex, interdisciplinary challenges.