INTERNSHIP DETAILS
Energy Systems Research Engineer Intern
CompanyGridmatic Inc
LocationCupertino
Work ModeOn Site
PostedNovember 13, 2026

Internship Information
Core Responsibilities
The intern will assist in developing and maintaining network security analysis and SCUC/SCED models for large-scale ISO systems. They will also support data processing pipelines and experiment with machine learning approaches to improve dispatch and contingency evaluation.
Internship Type
full time
Company Size
75
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Gridmatic is an AI-powered energy company focused on decarbonizing the grid by helping with the transition to clean energy. We utilize advanced AI to model and optimize energy supply, demand, and transactions. By leveraging these insights, we aim to increase the adoption of clean energy sources while enhancing the stability and efficiency of the US energy market.
About the Role
As an intern, you’ll work with Gridmatic’s research engineers on electricity market simulation, directly supporting SCUC/SCED development.
Responsibilities:
- 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
Qualifications:
- 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
Bonus Skills:
- 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
Key Skills
Electricity market simulationSCUCSCEDNetwork security analysisPower system operationsUnit commitmentEconomic dispatchOPFPower flowNetwork modelingPythonOptimizationLinear programmingMILPMachine learningData processing
Categories
EnergyEngineeringScience & ResearchTechnologyData & Analytics
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Electricity market simulationSCUCSCEDNetwork security analysisPower system operations
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