Power Systems Engineering Intern

Base Power Company•Austin, TX
•Onsite

About The Position

As a Power Systems Engineering Intern on Base’s Risk & Trading team, you will help model how Base’s network of distributed residential batteries interacts with the grid at the distribution and transmission levels. You will work alongside power systems engineers on power flow studies, grid models, and analysis supporting battery deployment and dispatch. You will own a scoped project end to end, from defining the study and building the model to presenting your findings. Your studies and tools will support operations and business development teams and may inform work with utilities and grid operators. Base is a startup whose priorities and responsibilities may change with business needs. The company works in person, and the role is described as not being a 9-to-5.

Requirements

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

Nice To Haves

  • 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, such as ERCOT.

Responsibilities

  • Help design and run power flow studies, including steady-state and contingency analyses, for Base battery aggregation use cases.
  • Build and validate distribution and transmission system models using standard test topologies such as IEEE test feeders.
  • Write Python to automate studies so they can be solved programmatically and run on a recurring basis.
  • Analyze and visualize study results and grid data, and develop clear recommendations, such as identifying where Base systems create the most value on a feeder.
  • Compile and present results to power systems engineers and the broader Risk & Trading team.
  • Own a scoped project from defining the study and building the model through presenting findings.
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