Full-Time
Power System Applications Engineer
Posted on 4/18/2024
AI-enabled clean energy optimization for markets
Energy
AI & Machine Learning
Senior
Cupertino, CA, USA
Requirements
- Master’s degree in Electrical Engineering or Power Systems Engineering
- 4 years of experience in the electric power industry or a Ph.D. in Electrical Engineering or Power Systems Engineering
- Experience with collaborative software development in Python and/or other languages
- Knowledge of optimization techniques (e.g., convex optimization, stochastic optimization, robust optimization, etc.)
- Knowledge of performing power systems network modeling using network topological analysis, power flow, contingency analysis, state estimator, security-constrained unit commitment, and economic dispatch
- Experience with two or more power system simulation tools (e.g., PSS/E, Powerworld, PSLF, or similar)
- Familiarity with modeling renewables, energy storage, and independent system operator (ISO) electricity markets
Responsibilities
- Simulate and develop models and tools to analyze the electricity energy market
- Contribute to the development of power market analysis tools delivering innovative solutions
- Perform an advanced quantitative and economic analysis of energy markets
- Stay abreast of market developments and provide fundamental analysis
- Familiarity with optimization techniques such as convex programming, mixed integer programming (MIP), Linear programming (LP), and stochastic optimization
Gridmatic is an AI-enabled power marketer that optimizes clean energy in electricity markets, increasing revenue for merchant battery systems by predicting prices and managing risk. The company leverages AI and electricity markets to increase profitability of renewable energy assets and optimize revenue for energy suppliers, storage owners, and consumers.
Company Stage
N/A
Total Funding
$46M
Headquarters
Cupertino, California
Founded
2020
Growth & Insights
Headcount