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Energy Systems Research Engineer Intern
Gridmatic
Assist research engineers with power market simulation, security analysis, and SCUC/SCED modeling.
10d ago
Entry-level
Internship
Cupertino, CA
Office Full-Time
Company Size
44 Employees
Service Specialisms
Engineering
Consulting
Technical Services
Project Management
Design
Construction services
Sector Specialisms
Energy
Renewable Energy
Role
What you would be doing
nsa automation
nsa development
scuc modeling
ml experiments
documentation
data pipelines
- Help automate NSA for integration into market optimization workflows.
- 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.
- Experiment with machine learning approaches to accelerate dispatch or contingency evaluation.
- Document results, highlight performance gaps, and propose improvements
- Support data processing pipelines for network, generator, and market datasets across ISOs (ERCOT, PJM, CAISO, etc.)
What you bring
python
scuc
sced
power flow
optimization
ms/phd
- Familiarity with probabilistic or ML-based methods
- Experience with SCUC/SCED formulations in research or coursework
- Solid programming skills in Python
- Exposure to market data from ISOs (bids, constraints, outage/contingency reports)
- Familiarity with power flow and network modeling
- Coursework in power system operations (unit commitment, economic dispatch, OPF)
- Enrolled in EE, or Energy Systems (MS or PhD student)
- Strong problem-solving skills and eagerness to learn real-world ISO practices
- Comfort with optimization formulations (linear, MILP)
Information not given or found
Training + DevelopmentInformation not given or found
Interview process
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Security clearanceInformation not given or found
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Company
Overview
300 MW/1 GWh
Battery Storage Capacity
The company manages large-scale battery storage systems, optimized for energy trading and dispatch operations.
Founded 2016
Company Origin
The company was established in 2016 by Stanford-trained Matt Wytock to modernize energy markets.
- Bootstrapped to profitability for multiple years before raising any venture funding.
- Builds deep-learning models that forecast electricity prices and market dynamics in wholesale power markets.
- Operates as a licensed Retail Electric Provider in ERCOT, offering energy supply and tailored contracts to industrial clients.
- Typical projects span demand forecasting, transmission-constrained optimization, battery performance enhancement, and renewables integration.
- Specializes in energy, renewables, battery storage, power markets, and grid optimization.
- Unusual for a startup of its size: multi-year profitability, direct trading operations, and proprietary AI-driven battery revenue guarantees.
- Driven by a mission to deliver impactful results at scale.
- Emphasis on ownership, rapid execution, and decisive action.
- Committed to transparency, collaboration, and accountability.
- Fostering innovation and a culture of continuous growth.
- Belief in the power of continuous learning and improvement.
2050
Net-Zero Target Year
The company is committed to achieving a net-zero carbon footprint by this year, marking a significant step toward sustainability.
- Committed to enabling a carbon-neutral future by optimizing the grid.
- Uses data-driven insights to enhance energy efficiency and reduce emissions.
- Aims to accelerate the transition to renewable energy sources.
- Committed to building a diverse and inclusive team.
- Actively promote equal opportunities for all employees.
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