Energy Systems Research Engineer at Gridmatic

The Company

Gridmatic Inc. is a high-growth startup with offices in the Bay Area and Houston that is accelerating the clean energy transition by applying our expertise in data, machine learning, and energy to power markets. We are the rare startup that has multiple years of profitability without raising venture capital. At Gridmatic, we foster a collaborative and inclusive culture where learning and growth are constant. We move quickly, solve problems with integrity, and balance environmental responsibility with data-driven excellence.

Responsibilities

• Develop and implement advanced optimization models for Security-Constrained Unit Commitment (SCUC), Security-Constrained Economic Dispatch (SCED), and other electricity market clearing processes.
• Model electricity market behavior from the participant perspective (generation, storage, demand response), including bidding strategies, forecasting, and risk exposure.
• Simulate market outcomes under various conditions, including congestion, renewable variability, storage operations, and policy changes.
• Develop tools for network modeling, power flow analysis, and contingency analysis.
• Work closely with engineers to productionize models, ensuring scalability and reliability.
  
  

Qualifications

• MS or PhD in Electrical Engineering, Power Systems, Operations Research, or a related field.
• Strong background in optimization (mixed integer, stochastic, robust, convex) with applications to SCUC/SCED or other electricity market problems.
• Familiarity with AI techniques in energy markets.
• Solid understanding of ISO/RTO market rules and participant behavior.
• Proficiency in Python and experience handling large datasets.
  
  

Bonus Skills

• Experience with production cost modeling tools, HPC/cloud computing, or power system simulators.
  
  

$158,000 - $255,000 a year

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