Power Systems Research Analyst

Job Title- Thermal SQA Technician

Location-Cupertino, CA

Salary Range- 90k- 100k

I Power Systems Research Analyst (Innovation Pod)
Role Summary
Join a specialized AI-led research pod focused on transforming transmission & distribution planning for leading utilities. This role offers an opportunity to apply power systems knowledge and emerging AI/ML techniques to solve complex grid challenges driven by renewable integration, dynamic loads (e.g., data centers, crypto), and climate variability. You will contribute to the development of advanced physics-based and data-driven models that enhance grid reliability, resilience, and planning efficiency while working alongside experienced researchers and industry experts.

Key Responsibilities

Develop and enhance advanced power system models including load flow, dynamic stability, and contingency analysis.
Apply AI/ML techniques to improve simulation speed, convergence, and scenario generation.
Build models for renewable intermittency, probabilistic generation, and distributed energy resources.
Perform weather-adjusted line rating, thermal modeling, and time-location-based load forecasting.
Solve complex system equations using Laplace/Fourier transforms and differential modeling approaches.
Support utilities in real-time and long-term planning with predictive and prescriptive insights.
Collaborate with cross-functional teams to bridge engineering, analytics, and planning functions.
Contribute to building reusable research assets, simulation frameworks, and prototypes within the pod.

Key Skills & Qualifications

M.Tech / PhD in Electrical Engineering (Power Systems specialization preferred).
Strong foundation in power system analysis, mathematical modeling, and control theory.
Understanding of AI/ML concepts and interest in applying them to engineering systems.
Exposure to tools such as MATLAB, Python, PSS/E, DIgSILENT, or similar is a plus.
Ability to translate research-driven concepts into practical utility solutions.
Strong analytical thinking and problem-solving skills.
Demonstrated curiosity and willingness to work on complex research and engineering challenges.

What Makes This Role Unique

Work on next-generation grid challenges at the intersection of AI and electrical engineering.
Opportunity to build research-grade capabilities typically limited to high-cost onshore teams.
Be part of a nimble, high-impact 2–5 member innovation pod delivering cutting-edge solutions.
Direct exposure to leading global utilities and real-world grid transformation problems.
Gain hands-on experience in applying advanced power systems theory, AI/ML techniques, and utility planning methodologies to solve real-world challenges.