Drimva

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

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)