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EPRI

Independent nonprofit R&D consortium for electricity

Distribution Grid Modeling and Analytics Engineer Staff 3

Power Systems EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Strong knowledge of power system fundamentals, specifically distribution systems.
  • Demonstrated experience developing software tools and analytical applications using Python, C#, Delphi, Java, or similar languages.
  • Experience with distribution system model development, validation, and verification.
  • Experience cleaning and utilizing utility measurement data from AMI, SCADA, and other field sources.
  • Proven ability to conduct power systems analytical studies, with an emphasis on distribution modeling and simulation.
  • Demonstrated experience with one or more industry modeling and simulation tools such as OpenDSS, CYME, Synergi, Milsoft, or PowerFactory.
  • Experience applying artificial intelligence, machine learning, or advanced analytics techniques to power system applications.
  • Experience modeling high penetrations of distributed energy resources, inverter-based resources, electrification technologies, and flexible loads.
  • A minimum of 2–3 years of engineering, utility, consulting, research, or equivalent experience is preferred.

Responsibilities

  • Make significant contributions to advanced modeling, simulation, and analytics projects.
  • Conduct independent research activities with guidance and contribute to development of new tools, methodologies, and research approaches to address industry challenges.
  • Evaluate emerging technologies and applications through analytical and field-based studies.
  • Contribute to technical publications, conference papers, webinars, and industry presentations.
  • Support proposal development and strategic research planning activities.
  • Engage with utility members to identify challenges, transfer research outcomes, and support technology adoption.
  • Contribute to the development and evaluation of artificial-intelligence-enabled tools and analytics applications for utility planning and operations.
  • Develop and apply repeatable processes for measurement data cleaning, quality assessment, and integration.
  • Conduct model verification and validation activities using utility measurement data.
  • Assess the applicability, limitations, and performance of emerging artificial intelligence technologies within utility environments.

Desired Qualifications

  • Familiarity with modern artificial intelligence and data science frameworks such as TensorFlow, PyTorch, Scikit-Learn, large language model-based systems, agentic workflows, or related technologies.
  • A Master of Science or PhD in Electrical Engineering with a power-system emphasis.

About the Company

EPRI

Independent nonprofit R&D consortium for electricity

EPRI is a non-profit research consortium owned by electric utilities that funds objective scientific studies of power generation, transmission, distribution, reliability, safety, and environmental performance. Its products come from member dues that support large R&D programs, testing technologies, analyzing data, and publishing findings, guidelines, and tools for utilities and regulators. Unlike for-profit firms or single-company labs, EPRI pools resources across many utilities and focuses on industry-wide challenges rather than commercial products, and it has never been publicly traded or acquired. Its goal is to provide foundational R&D that helps make the electric power system more reliable, safe, and cleaner for utilities, regulators, and the public.

Company size
1,001-5,000
Company stage
Grant
Total funding
$22.7M
Headquarters
Palo Alto, CA
Founded
1973

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