R&D Engineer, Grid Modeling & AI Solutions

Electric Power Engineers, LLC; Austin, Northern (TX, KY); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health benefits

PTO

Employee ownership

401K match

Job summary

Electric Power Engineers, LLC seeks an experienced R&D Engineer III to advance power systems modeling with machine learning and digital twin ideas. You will design, validate, and deploy research-driven frameworks for grid planning, control, and reliability, partnering with engineers, software teams, and scientists.

You will publish and demonstrate novel modeling approaches, while translating research into deployable tools for clients and internal products.

Qualifications

• Ph.D. or Master's in Electrical Engineering with focus on power systems or controls; Ph.D. preferred.
• Demonstrated research in power systems stability, control, or ML applications in energy systems.
• Strong fundamentals in transmission, distribution, grid dynamics and stability.
• Proficiency in Python; experience with PyTorch or TensorFlow and scientific libraries.
• Strong writing and presentation skills; ability to convey complex research clearly.

Responsibilities

• Research, design, and validate advanced modeling techniques for power systems.
• Develop ML-based surrogate models, digital twins, and stability methods for planning and control.
• Automate research workflows and simulations using Python and related tools.
• Collaborate with engineers, software teams, and researchers to deploy models.
• Present findings and support demonstrations for clients and internal teams.
• Test, validate, and troubleshoot research software to ensure reliability.

Skills

Python

ML frameworks

Power systems

Digital twins

Surrogate modeling

Education

PhD in Electrical Engineering

Master's in Electrical Engineering

Tools

PSS/E

PSCAD

PSLF

Aspen

TARA

Job description

Electric Power Engineers, LLC seeks an experienced R&D Engineer III to advance power systems modeling with machine learning and digital twin ideas. You will design, validate, and deploy research-driven frameworks for grid planning, control, and reliability, partnering with engineers, software teams, and scientists.

You will publish and demonstrate novel modeling approaches, while translating research into deployable tools for clients and internal products.