Power Systems Intern

The Company

Camus Energy empowers electric utilities to transform how the grid operates for a reliable, affordable, and zero-carbon future. Our grid orchestration platform equips utilities with the tools to harness local energy resources to keep the grid running smoothly 24/7/365.

We combine world-leading experience pioneering high-reliability distributed systems at technology companies like Google and Meta with robust power systems expertise from across the energy sector. As the adoption of electric vehicles, rooftop solar, battery storage, and flexible loads continues to accelerate, utilities need partners who can help them orchestrate these local resources reliably at scale. That’s where we specialize.

If helping utilities unlock the full potential of local energy resources sounds like the right challenge for you, let’s talk.

The Role

Project: Power flow modeling for distribution grids

Camus Energy is seeking a graduate intern who is excited about decarbonizing the grid! We are developing a grid orchestration platform to boost grid reliability, affordability, and resilience all while connecting and coordinating more renewable resource generators, energy storage, electric vehicles, and much more. This project involves modeling, benchmarking and visualizing power flow models for large distribution grids, specifically, 

1. Developing power flow models in OpenDSS from proprietary data formats
2. Benchmarking models via OpenDSS’s python interface- OpenDSSDirect.py
3. Quantifying metrics of interest & building tools to visualize data at scale

Expected start date: Jun 1, 2024 
Expected duration: 10-12 weeks

Minimum Qualifications

• Graduate student majoring in electrical engineering or related field
• Experience or coursework with OpenDSS 
• Proficiency programming in python (and standard libraries for scientific applications such as numpy and pandas) 
• Self-starter, eager to learn more about the power distribution industry, and excited about the energy transition!
• You are fluent in English

Bonus

• Experience with large distribution grid models such as the IEEE 8500 node test feeder
• Scripting with OpenDSSDirect.py
• Use of jupyter & colab notebooks for data analysis
• Experience with Pandas, SQL databases
• Experience writing production software 
• Experience with advanced visualization libraries like shapely  
• Google Cloud Platform API

About Our Tech

• Go and Python are the team’s primary backend technologies.
• On the frontend, our projects largely use Javascript, CSS, and Vue.
• Deployment, maintenance, and testing are shared responsibilities. We currently ship containerized server-side code to virtual machines running in GCP.
• Our data pipelines use stream processing, Postgres, Bigtable, Bigquery, and SQL. 
• Among the many different types of data processed are GIS, AMI, and SCADA.

All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.