GridCARE
Senior Distribution Planning Engineer
$140K–$210K
Redwood City · Hybrid · Senior · Full-time · Posted Oct 28, 2026
- Experience
- 6-8+ years; includes distribution or subtransmission planning.
- Education
- BS in Electrical Engineering.
About the job
Own GridCARE’s distribution planning work, conducting power-system studies and developing repeatable planning workflows for utility engagements and its platform.
What you'll do
- Perform distribution and subtransmission studies, including power flow, hosting capacity, load-serving, contingency, voltage, thermal, and protection analyses.
- Build planning workflows and establish study criteria, data standards, QA, documentation, and validation practices.
- Work with Product, AI/ML teams, and utility planners to integrate distribution methodology into the platform and review technical findings.
What they ask for
- 6-8+ years of work experience, including distribution or subtransmission planning, and experience inside a utility distribution planning department.
- Hands-on ownership of distribution planning studies, including power flow, capacity and load forecasting, hosting capacity, contingency, voltage, protection, and capital planning justification.
- Strong working fluency in CYME or Synergi; working knowledge of DER interconnection standards and state rules (IEEE 1547, CA Rule 21 or equivalent).
- Familiarity with Python and large, imperfect datasets using power-system tool APIs and scientific computing packages; BS in Electrical Engineering.
Nice to have
- MS in Electrical Engineering; PE license.
- Experience with large-load or data center interconnection, multiple utility territories, GIS-based network models, AI tools, or machine-learning approaches to power-system analysis.
Pay
$140,000-$210,000 Total (Base & Bonus) — total pay
Tools
CYME, Synergi, Python, pandas, numpy, IEEE 1547, CA Rule 21, WindMill
AI focus
Partner with Product and AI/ML teams to turn distribution-planning methodology into scalable platform capability; preferred experience using AI tools in engineering or validating machine-learning approaches to power-system analysis.
Model-written summary · the original posting is authoritative