Power Systems Software Engineer

Camuse Energy

Remote

Full Time

Posted May 9, 2026

$180k - $230k

Energy Management

Remote

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Job Description

Camus Energy builds software solutions that help new load and generation connect to the grid faster—without sacrificing reliability.

Key Responsibilities

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.
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.

Benefits & Perks

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!
The expected base salary for this role is $180,000 - $230,000 annually, depending on experience, skills, and qualifications.