Distribution Grid Analytics Engineer AI Modeling (Remote)

EPRI; Knoxville (TN); Hybrid; USD 92,000 - 101,000; Full time

Benefits offered by this job

Annual incentive program

Medical, dental, vision benefits

401k and paid time off

Job summary

EPRI in Knoxville, TN seeks an Engineer Staff III for Distribution Grid Modeling and Analytics. You’ll develop advanced power system models, integrate data-driven methods, and apply AI to planning and operations. The role blends research with practical tool development for electric utilities.

Ideal candidates have a strong foundation in distribution engineering, experience with OpenDSS/CYME/Synergi, and programming in Python or C#/Java. Remote work is considered for the right candidate.

Qualifications

• Strong knowledge of power system fundamentals, specifically distribution systems.
• Experience building software tools and analytical apps in Python, C#, Delphi, or Java.
• Experience with distribution system model development, validation, and verification.
• Experience cleaning and using utility measurement data (AMI/SCADA) for analytics.
• Proven ability to conduct power systems studies focused on distribution modeling and simulation.

Responsibilities

• Contribute to advanced modeling, simulation, and analytics projects.
• Conduct independent research and develop new tools and approaches.
• Evaluate emerging technologies through analytical and field studies.
• Publish papers, webinars, and conference talks; support proposal development.

Skills

Power systems fundamentals

Python

C#

Delphi

Java

Education

Bachelor's degree in a technical field

MS or PhD in Electrical Engineering (Power System)

Tools

OpenDSS

CYME

Synergi

Milsoft

PowerFactory

EMTP

PSCAD

TensorFlow

PyTorch

Scikit-Learn

Job description

EPRI in Knoxville, TN seeks an Engineer Staff III for Distribution Grid Modeling and Analytics. You’ll develop advanced power system models, integrate data-driven methods, and apply AI to planning and operations. The role blends research with practical tool development for electric utilities.

Ideal candidates have a strong foundation in distribution engineering, experience with OpenDSS/CYME/Synergi, and programming in Python or C#/Java. Remote work is considered for the right candidate.