Energy Systems Research Engineer Intern
Gridmatic
Energy Systems Research Engineer Intern
Gridmatic
AI-driven optimization of renewable assets
As an intern, you’ll work with Gridmatic’s research engineers on electricity market simulation, directly supporting SCUC/SCED development.
Responsibilities:
Qualifications:
Bonus Skills:
Gridmatic uses artificial intelligence to improve the profitability and reliability of renewable energy assets. It serves three client groups: generators of renewables, operators of energy storage, and consumers of renewable energy. The product suite analyzes market data with machine learning to forecast energy prices, manage price and performance risk, and optimize revenue from energy transactions—especially for storage assets that must balance risk and availability. Unlike others that focus on a single segment, Gridmatic combines AI analytics with energy market expertise to optimize both generation and procurement across markets. Its goal is to accelerate clean energy adoption by making renewable energy cheaper, more predictable, and easier to deploy at scale, supporting decarbonization and a more reliable grid.
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