Gridmatic
Power Systems Research Scientist
$175K–$270K
Cupertino +1 · Full-time · Posted Jun 18, 2026
- Location
- Cupertino
Cupertino, California, United States - Education
- Advanced degree (MS/PhD) in Electrical Engineering, Power Systems, or related field.
About the job
Develops physics-based transmission-system models and scalable optimization and simulation tools to analyze electricity markets and support research and trading decisions.
What you'll do
- Develop power network models, including AC/DC power flow, contingency analysis, and security constraints.
- Build large-scale optimization models and scalable algorithms for power system optimization.
- Analyze congestion and market outcomes, simulate grid scenarios, and collaborate with ML and trading teams.
What they ask for
- Advanced degree (MS/PhD) in Electrical Engineering, Power Systems, or related field.
- Strong background in power systems analysis and modeling, including power flow, transmission modeling, and congestion analysis.
- Experience with optimization algorithms and large-scale mathematical programming; understanding of numerical methods for convex and/or non-convex optimization.
- Strong programming skills in Python.
Nice to have
- Experience with tools such as PSS/E, PowerWorld, PSLF, or similar, or familiarity with SCUC/SCED implementations.
- Experience with GPU-accelerated computing or frameworks such as PyTorch or JAX.
Pay
$175,000—$270,000 USD (base salary)
Tools
Python, PSS/E, PowerWorld, PSLF, PyTorch, JAX
Model-written summary · the original posting is authoritative