Power Systems Research Scientist

Gridmatic is a high-growth startup and a new kind of energy company, delivering affordable, clean power by optimizing renewable energy and grid-scale batteries. With offices in the Bay Area and Houston, we bring together Silicon Valley–style innovation with deep, hands-on expertise in real-world power markets and energy retail.As solar and wind become the fastest-growing sources of electricity, variability from weather and grid conditions makes energy prices more volatile. Gridmatic tackles this challenge with industry-leading forecasting and optimization—and gives our team the opportunity to work on problems that truly matter. Forecasting and trading energy are the foundation of what we do. We ingest large-scale data—weather, prices, load, and grid conditions—to build probabilistic machine learning forecasts that drive real operational decisions. Our work directly determines when power is bought, stored, or deployed, turning uncertainty into value for customers and the grid.Our impact is measurable. Gridmatic is the most profitable participant in ERCOT’s wholesale market and operates the top-performing battery asset in CAISO. Profitable without venture capital, we offer a collaborative, low-ego environment where rigorous thinking, autonomy, and continuous learning are core to how we work.The RoleWe are looking for a Power Systems Research Scientist to develop physics-based models of large-scale transmission systems and their impact on electricity markets.You will work on large-scale optimization and simulation problems, including power flow, congestion, and security-constrained unit commitment and economic dispatch (SCUC/SCED). This role focuses on designing scalable algorithms and high-performance implementations for solving complex power system problems.This role sits at the core of our research and trading stack, building models and computational tools that directly impact how we understand and operate in electricity markets.We are particularly interested in rethinking power system optimization and simulation using modern computing (e.g., GPU acceleration).What You'll Do:Develop and analyze power network models, including AC/DC power flow, contingency analysis, and security constraintsBuild and enhance large-scale optimization models (e.g., SCUC/SCED) with detailed transmission constraintsDesign and implement scalable algorithms and solver components for large-scale power system optimizationIdentify and address computational bottlenecks in network-constrained simulations and optimizationModel and analyze congestion and transmission-driven market outcomesSimulate grid scenarios with high penetration of renewables, storage, and outagesCollaborate with ML and trading teams to integrate network-aware signals into forecasting and decision systemsQualifications Advanced degree (MS/PhD) in Electrical Engineering, Power Systems, or related fieldStrong background in power systems analysis and modelingExperience with power flow (AC/DC), transmission modeling, and congestion analysisFamiliarity with ISO/RTO markets and network-constrained market outcomesExperience with optimization algorithms and large-scale mathematical programmingUnderstanding of numerical methods for convex and/or non-convex optimizationStrong programming skills in PythonNice to Have:Experience with tools such as PSS/E, PowerWorld, PSLF, or similarFamiliarity with SCUC/SCED implementationsBackground in electricity market modeling or tradingExperience working with large-scale datasets and cloud applicationsFamiliarity with key power systems concepts such as PTDFs (power transfer distribution factors) and security constraintsExperience with GPU-accelerated computing for large-scale optimization or simulationExperience with frameworks such as PyTorch or JAX for high-performance numerical computingJoin our team and make a difference! Click below or email us atWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.