Gridmatic

Power System Applications Engineer

Gridmatic

full-time

Posted on:

Location: California • 🇺🇸 United States

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Salary

💰 $180,000 - $240,000 per year

Job Level

Mid-LevelSenior

Tech Stack

Python

About the role

  • Gridmatic Inc.: high-growth clean-energy data and ML startup accelerating the clean energy transition via power market analytics
  • Simulate and develop models and tools to analyze the electricity energy market, including simulating ancillaries and transmission constraints
  • Contribute to development of power market analysis tools in network modeling, network analysis, power flow, security/contingency analysis, and real-time control
  • Familiarity with Security Constrained Unit Commitment (SCUC) and Security Constrained Economic Dispatch (SCED) combined with background in power system dynamics and stability
  • Perform advanced quantitative and economic analysis of energy markets to assess future electric power market and prices, power plant operation and valuation, environmental emissions and compliance, transmission, and regulatory effects
  • Stay abreast of market developments and provide fundamental analysis, insights, and perspectives on electricity markets
  • Familiarity with optimization techniques such as convex programming, mixed integer programming (MIP), linear programming (LP), and stochastic optimization is a plus

Requirements

  • Master’s degree in Electrical Engineering or Power Systems Engineering with a minimum of 4 years of experience in the electric power industry, or Ph.D. in Electrical Engineering or Power Systems Engineering with coursework in power network applications
  • Experience with collaborative software development in Python and/or other languages
  • Knowledge of optimization techniques (e.g., convex optimization, stochastic optimization, robust optimization)
  • Knowledge of power systems network modeling: network topological analysis, power flow, contingency analysis, state estimator, security-constrained unit commitment (SCUC), and economic dispatch (SCED)
  • 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
  • Bonus: Experience with production cost modeling (UPLAN, PLEXOS, PROMOD, etc.)
  • Bonus: Experience in High-Performance Computing platforms
  • Bonus: Active participation within industry professional societies (e.g., IEEE)
  • Bonus: Familiarity with the Common Information Model (CIM) (electric power transmission and distribution standard)
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