GridCARE provides AI software for electrical grid capacity planning. The company provides the ENERGIZE platform, which analyzes grid conditions, identifies underused transmission capacity, and supports faster power activation for large-scale AI infrastructure... Backed by Overture.
About the role
We are looking for a quantitative engineer to help build the models at the core of how GridCARE understands data center power: how facilities consume energy today, and how that consumption will evolve over time. In this role, you will develop simulation and forecasting models for existing and future data centers and the components inside data centers that will be used to support planning decisions across the full horizon, from intraday operations to multi-year infrastructure development.
What they're looking for
- Bachelor's, Master's, or PhD in a quantitative field, with 1–5+ years of relevant industry or applied research experience
- Experience working with data, mathematical models, simulations, forecasting problems, and time-series analysis
- Experience with forecasting under uncertainty, probabilistic modeling, or scenario generation
- A passion for understanding how data centers work and operate: their components, load behavior, operating constraints, and how that operation interacts with the electric grid
- Proficiency in Python or a similar programming language
- Ability to think from first principles and learn unfamiliar technical domains quickly
More about this role
Team: Engineering
Type: Full-time
GridCARE is a leading venture-backed startup solving the most critical constraint in AI’s growth trajectory: immediate access to power. As demand for computing skyrockets, access to energy has become the defining bottleneck in the AI infrastructure race. While leading tech companies invest billions in speculative, long-term solutions that may take decades to arrive, GridCARE’s pioneering physics-based generative AI platform unlocks gigawatts of hidden capacity in today’s electric grid — enabling hyperscalers, data center developers, and utilities to power AI infrastructure years sooner than conventional approaches and without costly upgrades.
Founded at Stanford’s Doerr School of Sustainability and backed by leading climate-tech and deep-tech investors, GridCARE has assembled a world-class team spanning power systems, AI, and infrastructure.
Work at the intersection of AI, energy, and infrastructure — the foundation of the next industrial revolution.
Partner with hyperscalers, developers, and utilities on high-impact, real-world deployments.
Help shape a more abundant, efficient, and resilient energy future for the digital era.
Join a company...
Browse similar: Startup jobs · Remote jobs · San Francisco Bay Area