6-8+ years of experience in distribution or subtransmission planning.
Experience within a utility distribution planning department.
Hands-on expertise in power flow, capacity forecasting, and contingency analysis.
Strong proficiency in CYME or Synergi software.
Knowledge of DER interconnection standards (e.g., IEEE 1547, CA Rule 21).
Familiarity with Python and handling large datasets using scientific computing libraries.
Bachelor's degree in Electrical Engineering.
Responsibilities
Perform power system analyses including power flow and hosting capacity studies.
Develop comprehensive distribution planning workflows from model setup to deliverables.
Align distribution analyses with GridCARE's platform and transmission-level findings.
Evaluate flexibility resources for capacity credit at the distribution level.
Establish planning criteria and documentation practices in line with utility processes.
Collaborate with Product and AI/ML teams to enhance platform capabilities.
Lead technical reviews with utility planners and address their concerns.
Benefits
Comprehensive health, dental, and vision coverage.
Lunch provided three days a week in the office.
Hybrid work schedule: 3 days in-office, 2 days remote.
Access to leading partners in the AI-energy ecosystem.
Mission-driven team focused on energy transition.
Full Job Description
The Role
We're hiring a Senior Distribution Planning Engineer to own GridCARE's distribution planning workstreams.
You'll perform distribution power system analyses - power flow studies in CYME and equivalent tools - and build out the planning workflows behind them, aligning distribution results with GridCARE's analyses and platform. You'll have engineering support, but you own the discipline: the methodology, the standards, and execution with utility engagements. Potential to build out a team of distribution engineers as the company and engagements grow.
Responsibilities
Perform distribution and subtransmission power system analyses: power flow, hosting capacity and load-serving studies, contingency and reconfiguration analysis, voltage and thermal limits, and protection considerations.
Build out GridCARE's distribution planning workflows end to end - model setup, data intake standards, study criteria, QA, and deliverables.
Align distribution analyses with GridCARE's tools, analyses, and platform, including how distribution findings connect to transmission-level work.
Assess which flexibility resources can be credited as capacity at the distribution level - batteries, on-site generation, volt/VAR control, feeder reconfiguration.
Establish planning criteria, documentation, and validation practices that align with utility distribution planning processes.
Partner with Product and AI/ML teams to translate distribution planning methodology into repeatable and scalable platform capability.
Lead technical review sessions with utility planners and address utility concerns on data, criteria, and methodology.
Travel at least several times a year for in-person utility engagements and conferences.
Qualifications
Required
6-8+ years work experience, including distribution or subtransmission planning.
Experience inside a utility distribution planning department.
Hands-on ownership of distribution planning studies: power flow, capacity and load forecasting, contingency and reconfiguration analysis, hosting capacity, voltage and protection studies, and capital planning justification.
Strong working fluency in CYME or Synergi
Working knowledge of DER interconnection standards and state interconnection rules (IEEE 1547, CA Rule 21 or equivalent).
Familiarity in Python, and comfort working directly with large, imperfect datasets using power system tool APIs and scientific computing packages (pandas, numpy, etc.).
BS in Electrical Engineering.
Preferred
MS in Electrical Engineering; PE license.
Experience with large-load or data center interconnection at distribution or subtransmission voltages.
Experience with multiple distribution modeling tools (CYME, Synergi, WindMill, OpenDSS, ETAP) and GIS-based network models.
Experience working across multiple utility territories and regulatory environments.
Demonstrated use of AI tools in technical engineering work, with sound judgment about their limits.
Familiarity with machine-learning approaches to power system analysis and how to validate them.
Experience building planning methodology or standards from scratch.
Location
Redwood City, CA - hybrid, 3 days/week in office.
What We Offer
Competitive salary, performance bonus, and equity.
Comprehensive health, dental, and vision coverage.
Lunch provided three days a week in office.
Hybrid schedule: 3 days in office for collaboration, 2 days remote for focused work.
Access to leading academic, industry, and government partners in the AI-energy ecosystem.
A mission-driven team focused on shaping the future of the energy transition.
Salary Range
$140,000-$210,000 Total (Base & Bonus)
Join us in tackling one of the most important infrastructure challenges of our time - enabling the energy foundation for the AI era.
