At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus. The Energy and Environment Directorate (EED) delivers science and technology solutions for the nation’s biggest energy and environmental challenges. Our more than 1,700 staff support the Department of Energy (DOE), delivering on key DOE mission areas including: modernizing our nation’s power grid to maintain a reliable, affordable, secure, and resilient electricity delivery infrastructure; research, development, validation, and effective utilization of renewable energy and efficiency technologies that improve the affordability, reliability, resiliency, and security of the American energy system; and resolving complex issues in nuclear science, energy, and environmental management. The Electricity Infrastructure and Buildings Division (EI&BD), part of EED, is accelerating the transition to an efficient, resilient, and secure energy system through basic and applied research. We leverage a strong technical foundation in power and energy systems and advanced data analytics to drive innovation, transform markets, and shape energy policy. Within this division, the Power System Modeling Group (PSMG) develops advanced simulation, analysis, and optimization tools to understand and enhance grid performance across all levels, from the bulk energy system to the distribution grid. We are seeking a Principal Research Engineer with deep expertise in power system modeling, simulation, and resilience. This individual will provide technical leadership for R&D that bridges the transmission and distribution domains, driving innovation in grid modeling, analysis, and operational resilience.
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Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree