Note: The job is a remote job and is open to candidates in USA. EPRI is a research organization advancing distribution system planning and operations for the electric utility industry. The Engineer Staff III will conduct research in advanced power system modeling, simulation, artificial intelligence, machine learning, and measurement-based analytics, developing practical solutions for utility planning, operations, and protection. The role also supports research publications, utility engagement, data quality processes, and evaluation of emerging AI technologies.
Responsibilities
- Makes significant contributions to advanced modeling, simulation, and analytics projects
- Conducts independent research activities with guidance and contributes 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 AI-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 AI technologies within utility environments
Skills
- 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, PowerFactory, EMTP, PSCAD
- Experience applying AI, machine learning, or advanced analytics techniques to power system applications
- Experience modeling high penetrations of DER, inverter-based resources, electrification technologies, and flexible loads
- Bachelor's degree in a technical field or equivalent experience
- Familiarity with modern AI and data science frameworks such as TensorFlow, PyTorch, Scikit-Learn, LLM-based systems, agentic workflows, or related technologies is desirable
- Preferred MS or PhD in Electrical Engineering with Power System emphasis
- Minimum 2-3 years of engineering, utility, consulting, research, or equivalent experience preferred
Benefits
- Eligible to participate in EPRI’s annual incentive program; the amount of incentive varies and is subject to the terms and conditions of the plan.
- Medical insurance
- Dental insurance
- Vision insurance
- 401k
- Short-term disability and long-term disability insurance
- Paid family leave
- Life and accident insurance
- Paid time off, including flexible vacation, sick leave, and holiday pay
- Remote work considered for the right candidate
Company Overview