Camus Energy builds software solutions that help new load and generation connect to the grid faster—without sacrificing reliability.
As electricity demand accelerates and clean energy scales, traditional interconnection processes are becoming the bottleneck. Utilities and developers face growing queues, long timelines, and costly upgrades that slow progress across the grid.
Camus enables flexible grid connections that allow new load and generation to connect sooner by planning for and operating within real system constraints. Our platform bridges the gap between grid operators and large load developers, providing a view of time-varying grid capacity for any given new interconnection point.
We combine high-reliability software experience from companies like Google and Meta with deep power systems expertise across the utility sector. If you’re excited to work at the intersection of infrastructure, software, and climate, we’d love to hear from you.
The RoleWe'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.
What You'll Do- 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
- 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.
- 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.
Similar Jobs
What you need to know about the Chicago Tech Scene
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
