Energy Systems Research Engineer Intern
Gridmatic
Company Overview
Gridmatic
Cupertino, CA, United States
2016
Approximately 50 employees and annual revenue estimated between $5 million and $10 million (source: cience.com, climatebase.org).
What They Do
Gridmatic is a private AI-enabled power marketing company that specializes in optimizing renewable energy and battery storage operations through advanced machine learning algorithms. Founded in 2016, the company focuses on forecasting energy supply, demand, pricing, and grid transactions in key U.S. markets such as ERCOT (Texas) and CAISO (California) (source: cience.com, gridmatic.com). Their core technology leverages AI and machine learning models to predict electricity market dynamics, which helps optimize operations for renewable energy generators, battery storage systems, and retail energy consumers. This innovative approach allows Gridmatic to differentiate itself from traditional power marketers that rely on manual processes (source: gridmatic.com, gridmatic.com). The company offers a range of products and services, including bid optimization for storage owners, revenue-sharing agreements, and retail energy contracts tailored for large energy users like data centers (source: gridmatic.com, gridmaticretail.com).
Projects & Track Record
Gridmatic has successfully managed several notable projects, including a 50 MW / 100 MWh battery storage system in Texas, which became operational in 2023 through its $50 million Energy Storage Fund (source: gridmatic.com). Another significant project is the 57 MW / 114 MWh Cross Trails Battery Energy Storage System (BESS) in Scurry County, Texas, which has a 10-year offtake agreement with Energy Vault, with construction expected to start following a recent announcement (source: ess-news.com). Additionally, Gridmatic is involved in the 100 MW / 400 MWh Caballero BESS in Nipomo, California, where it serves as the optimizer for Alpha Omega Power, and has signed a 10 MW solar Power Purchase Agreement (PPA) in ERCOT with Sol Systems to provide hourly-matched clean energy for EdgeConneX data centers (source: gridmatic.com). These projects highlight Gridmatic's commitment to expanding its footprint in the renewable energy sector.
Recent Developments
In the past two years, Gridmatic has made significant strides, including the closure of its $50 million Energy Storage Fund in November 2023, which enables the operation of the 50 MW Texas battery and aims to manage up to 500 MW in total (source: gridmatic.com). The company also signed a 10 MW ERCOT solar PPA with Sol Systems for EdgeConneX in 2024 and secured a 10-year offtake for Energy Vault's 57 MW Cross Trails BESS (source: gridmatic.com). Furthermore, Gridmatic partnered with Alpha Omega Power as the optimizer for their 100 MW Caballero BESS, which was announced in December 2024, thereby boosting its portfolio to 300 MW (source: ess-news.com). The company also launched Gridmatic Retail in October 2024, focusing on growth in Texas and expanding into PJM markets.
Working There
Gridmatic employs a diverse range of professionals, including researchers, engineers, data scientists, and energy veterans, all contributing to its innovative approach in the energy sector. The leadership team includes CEO & Founder Matt Wytock, Chief Commercial Officer David Miller, and CFO Erin Kogan, among others (source: gridmatic.com). The company culture emphasizes teamwork, continuous learning, diversity, and integrity, fostering a collaborative environment that values work-life balance. Hiring is primarily centered at its Cupertino headquarters, supporting growth in ERCOT, CAISO, and PJM markets (source: climatebase.org). While specific benefits are not publicly detailed, Gridmatic's status as a ClimateTech startup in the Bay Area suggests competitive perks aligned with its mission-driven ethos.
Last updated on Feb 23, 2026 | Report an issue
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
Apply now
Job expired?Please let Gridmatic know you found this job on Rejobs. It helps us grow and get more people working in renewable energy.
Apply now
Job expired?Please let Gridmatic know you found this job on Rejobs. It helps us grow and get more people working in renewable energy.
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About the role
June 23, 2026
Internship
Company
- Cupertino, United States
Intern
UTC-07:00