Camus Energy builds software solutions that facilitate the connection of new load and generation to the grid. They are seeking a Power Systems Software Engineer to develop and validate power systems modeling capabilities, working directly with utility customers and collaborating with the Engineering team to deploy models in a cloud-native architecture.
Responsibilities:
- Develop and maintain high-fidelity power flow & optimal power flow models
- Write and maintain automated tests and validation pipelines that verify model accuracy, catch regressions and ensure solver reliability
- Drive the architecture of solvers that balance accuracy with computational performance
- Build tooling that visualizes and translates model outputs into actionable insights, for internal and client-facing applications
- Partner with our utility customers to understand their datasets and validate model outputs against their system measurements
- Collaborate with Camus’ internal teams to integrate utility models (GIS, ADMS, and time series data) into the Camus platform
- Identify and resolve computational bottlenecks in large-scale grid simulations
Requirements:
- Masters/Ph.D. in Electrical Engineering, Computer Science, or related discipline with 5+ years of industry experience deploying power systems models for real world applications
- Strong foundations in power systems concepts, methods and convex/non-convex optimization solvers for distribution grids
- Experience working with large utility datasets (GIS, SCADA, AMI, network models)
- Experience with OpenDSS or other open source or commercial power flow modeling software
- Ability to translate complex mathematical formulations into production-ready code
- Strong Python skills: you write clean, maintainable, production-ready code, not just analysis scripts
- Excellent problem-solving, communication, and collaboration skills
- Comfortable operating with autonomy in a small team, balancing speed of delivery with the engineering discipline that production-grade software demands
- Experience with hosting capacity and interconnection studies
- Experience with transmission grid planning or operations software
- Experience with time-series forecasting, or other AI applications in grid analytics
- Experience with GCP or other cloud platforms
- Able to leverage AI code development tools to accelerate development