R&D Engineer: Grid AI, Digital Twins & Stability

Electric Power Engineers; Austin (TX); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health benefits

PTO and holidays

Employee ownership (MyShare)

401K with match

Job summary

Electric Power Engineers seeks an experienced R&D Engineer III to design, develop, and validate research-driven modeling frameworks for next‑gen grid planning, control, and reliability. You’ll work with power systems engineers, software developers, and researchers to translate cutting-edge research into deployable tools.

The role emphasizes ML, adaptive control, simulation-based modeling, and collaboration on client engagements to deliver robust energy solutions.

Qualifications

• Ph.D. or Master’s in Electrical Engineering with focus on power systems, controls, or applied machine learning.
• Demonstrated research experience in power systems stability analysis, control, or ML in energy systems.
• Deep understanding of power systems fundamentals, including transmission and distribution planning, grid dynamics, and stability analysis.
• Strong programming skills in Python, with deep learning frameworks (PyTorch, TensorFlow) and scientific computing libraries.
• Strong presentation and technical writing skills, able to explain complex concepts to technical and non-technical audiences.
• Familiarity with software development and testing practices to ensure robust research tools.
• Excellent problem-solving skills in simulation-based or data-driven power system models.

Responsibilities

• Research & Model Development: design, develop, and validate advanced modeling techniques (ML surrogate models, digital twins, stability methods) for planning and control.
• Automation & Programming: use Python to automate research workflows, build adaptive control tools, advanced generator/load models and simulations.
• Technical Demonstration & Dissemination: communicate findings via internal reports and presentations; support demonstrations for teams and clients.
• Collaboration: partner with engineers, software developers, and researchers to integrate modeling approaches into products.
• Client & Stakeholder Support: translate research capabilities into tailored solutions for client engagements.
• Validation & Troubleshooting: test and validate research software to ensure accuracy and reliability in real-world contexts.

Skills

Python programming

Machine learning

Power systems knowledge

Communication

Presentation skills

Research experience

Education

Ph.D. or Master's in Electrical Engineering

Tools

PSS/E

PSCAD

PSLF

Aspen

TARA

TensorFlow/PyTorch

Job description

Electric Power Engineers seeks an experienced R&D Engineer III to design, develop, and validate research-driven modeling frameworks for next‑gen grid planning, control, and reliability. You’ll work with power systems engineers, software developers, and researchers to translate cutting-edge research into deployable tools.

The role emphasizes ML, adaptive control, simulation-based modeling, and collaboration on client engagements to deliver robust energy solutions.