Power Systems Software Engineer

🕒 May 9

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Camus Energy

WebsiteLinkedInAll Job Openings

11 - 50 employees

⚡ Energy

🤖 Artificial Intelligence

☁️ SaaS

Energy • Artificial Intelligence • SaaS

Camus Energy is a technology company specializing in AI-powered tools for managing real-time distribution grid constraints and integrating distributed energy resources (DER) flexibility into system planning. The company offers utilities enhanced visibility into grid operations, incorporating machine learning to anticipate local grid constraints and optimize grid capacity. Camus Energy's platform supports electric vehicle (EV) detection, short-term forecasting, and DER control, helping utilities improve reliability, affordability, and operational efficiency while facilitating the transition to a zero-carbon grid. Their solutions are designed to serve investor-owned utilities, co-ops, municipal utilities, and generation and transmission providers, ensuring seamless grid management and planning with a focus on the energy transition.

📋 Description

• 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.

🏖️ Benefits

• Competitive base salary • Comprehensive benefits, including FSA and 401k for full time employees • Fully remote workplace with options for in office work in the Bay Area • Flexible PTO, which we encourage you to use! • A real impact on climate change - we’re building the world we want to live in and we want you to join us!