Energy Systems Research Engineer Intern

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.

As an intern, you’ll work with Gridmatic’s research engineers on electricity market simulation, directly supporting SCUC/SCED development.

• Develop/maintain network security analysis (NSA) to produce reliability constraints across large-scale ISO systems
• Assist in building and validating SCUC/SCED models, with realistic transmission and contingency constraints.
• Help automate NSA for integration into market optimization workflows.
• Support data processing pipelines for network, generator, and market datasets across ISOs (ERCOT, PJM, CAISO, etc.)
• Experiment with machine learning approaches to accelerate dispatch or contingency evaluation.
• Document results, highlight performance gaps, and propose improvements

• Enrolled in EE, or Energy Systems (MS or PhD student)
• Coursework in power system operations (unit commitment, economic dispatch, OPF)
• Familiarity with power flow and network modeling
• Solid programming skills in Python
• Comfort with optimization formulations (linear, MILP)
• Strong problem-solving skills and eagerness to learn real-world ISO practices

• Experience with SCUC/SCED formulations in research or coursework
• Exposure to market data from ISOs (bids, constraints, outage/contingency reports)
• Familiarity with probabilistic or ML-based methods