Power Systems Software Engineer
About The Position
We're looking for a Power Systems Software Engineer to own and advance the power systems modeling capabilities at the heart of the Camus platform. This is an individual contributor role with real technical depth and product influence; you'll be responsible for the full stack of power systems work, from developing and validating high-fidelity models to driving the architecture that makes these models run reliably at scale. This is not a role where the product requirements are handed to you. You will work directly with utility customers to understand their data and validate model outputs against real system measurements, bringing that ground-truth perspective back into product decisions. You'll also work closely within the Engineering team to deploy power flow models in our cloud-native architecture, and unlock large-scale planning studies and real-time orchestration of DERs. The problems we're solving don't have off-the-shelf answers. We work as a tight, technical team that moves with urgency but builds with the discipline that production-grade software demands. If you want to do the most technically interesting power systems modeling work in the industry while directly shaping how it becomes a product, this is the role.
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.
Nice To Haves
- 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.
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
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!
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What This Job Offers
Job Type
Full-time
Career Level
Senior
