Power Systems Research Scientist Job at Gridmatic, Cupertino, CA

  • Gridmatic
  • Cupertino, CA

Job Description

The RoleWe are looking for a Power Systems Research Scientist to develop physics-based models of large-scale transmission systems and their impact on electricity markets.You will work on large-scale optimization and simulation problems, including power flow, congestion, and security-constrained unit commitment and economic dispatch (SCUC/SCED). This role focuses on designing scalable algorithms and high-performance implementations for solving complex power system problems.This role sits at the core of our research and trading stack, building models and computational tools that directly impact how we understand and operate in electricity markets.We are particularly interested in rethinking power system optimization and simulation using modern computing (e.g., GPU acceleration).What you'll do: Develop and analyze power network models, including AC/DC power flow, contingency analysis, and security constraintsBuild and enhance large-scale optimization models (e.g., SCUC/SCED) with detailed transmission constraintsDesign and implement scalable algorithms and solver components for large-scale power system optimizationIdentify and address computational bottlenecks in network-constrained simulations and optimizationModel and analyze congestion and transmission-driven market outcomesSimulate grid scenarios with high penetration of renewables, storage, and outagesCollaborate with ML and trading teams to integrate network-aware signals into forecasting and decision systemsQualifications:Advanced degree (MS/PhD) in Electrical Engineering, Power Systems, or related fieldStrong background in power systems analysis and modelingExperience with power flow (AC/DC), transmission modeling, and congestion analysisFamiliarity with ISO/RTO markets and network-constrained market outcomesExperience with optimization algorithms and large-scale mathematical programmingUnderstanding of numerical methods for convex and/or non-convex optimizationStrong programming skills in PythonNice to Have: Experience with tools such as PSS/E, PowerWorld, PSLF, or similarFamiliarity with SCUC/SCED implementationsBackground in electricity market modeling or tradingExperience working with large-scale datasets and cloud applicationsFamiliarity with key power systems concepts such as PTDFs (power transfer distribution factors) and security constraintsExperience with GPU-accelerated computing for large-scale optimization or simulationExperience with frameworks such as PyTorch or JAX for high-performance numerical computingTaking care of you today:- Continuing Education Opportunities- Flexible PTO- Medical, Dental and Vision plans with competitive employer contributions- Pre-Tax commuter benefits- $1500/year non profit donation matching program through Millie- Home Office StipendProtecting your future for you and your family:- 401K contribution match up to 4%- Company-paid parental leave- Company Paid Life Insurance- Stock Option Loan ProgramPay range $175,000—$270,000 USD

Job Tags

Home office, Flexible hours

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