Technical Leader II - Nuclear Risk Assessment and Applications
EPRIAbout the role
Job Title:
Technical Leader II - Nuclear Risk Assessment and ApplicationsLocation:
Charlotte, NC, Remote/Home BasedJob Summary and Description:
EPRI seeks an experienced engineer with expertise in Probabilistic Risk Assessment (PRA), risk-informed applications, and nuclear safety analysis to support research and member programs within the Nuclear Risk and Safety Management area.
The successful candidate will contribute to research involving internal events, internal flooding, external hazards, and emerging PRA applications for existing and advanced nuclear power plants. The position will serve as a technical contributor and project manager supporting PRA research initiatives, member support activities, technology transfer, and future development of risk-informed methods and analytical tools.
This role provides an opportunity to work across a broad range of PRA disciplines while helping shape the next generation of risk-informed decision support capabilities for the nuclear industry.
EPRI encourages the use of modern engineering, analytical, automation, and AI-enabled tools to improve technical quality, productivity, knowledge transfer, and member value. Candidates should demonstrate curiosity and willingness to adopt emerging technologies that enhance engineering effectiveness.
Key Responsibilities
• Support and lead research projects involving probabilistic risk assessment, risk-informed applications, and nuclear safety analysis.
• Contribute to EPRI's internal flooding PRA research program, including member support, technology transfer, methodology development, and application of industry guidance.
• Support development, maintenance, quantification, and application of PRA models addressing internal events, flooding, external hazards, and integrated risk assessments.
• Utilize EPRI's Integrated Risk Toolkit (IRT) and other PRA software tools to support member applications and research initiatives.
• Apply PRA insights to support risk-informed decision making, online maintenance, configuration risk management, operational risk assessments, and emerging applications.
• Collaborate with utilities, regulators, vendors, consultants, and industry organizations to identify emerging technical needs and develop practical research solutions.
• Support technical workshops, training activities, and knowledge transfer initiatives.
• Contribute to proposals, business development activities, and strategic planning for future PRA research programs.
• Evaluate and apply modern analytical, automation, and AI-enabled tools to improve engineering productivity, technical communication, knowledge management, and member value.
Required Qualifications
• Bachelor's degree in Engineering (Nuclear Engineering preferred).
• Approximately 5–10 years of experience supporting PRA model development, PRA applications, nuclear safety analysis, or risk-informed engineering activities.
• Working knowledge of PRA methods, including fault tree analysis, event tree analysis, risk quantification, and PRA applications.
• Familiarity with one or more PRA technical areas, including internal events, internal flooding, fire PRA, seismic PRA, external hazards, reliability analysis, or risk-informed applications.
• Strong analytical, problem-solving, and communication skills.
• Ability to work independently and effectively engage with technical stakeholders.
Preferred Qualifications
• Experience with internal flooding PRA methodologies and applications.
• Familiarity with the ASME/ANS PRA Standard and PRA peer review processes.
• Experience using EPRI's Integrated Risk Toolkit (IRT), CAFTA, RiskSpectrum, SAPHIRE, or equivalent PRA tools.
• Experience supporting risk-informed applications, configuration risk management, online maintenance, operational risk assessments, or risk-informed decision making.
• Experience supporting advanced reactor or SMR safety assessments.
• Experience using modern analytical and productivity tools, including Python, data analytics, automation tools, generative AI platforms, engineering knowledge management tools, or digital engineering environments.
• Demonstrated ability to improve engineering productivity, technical communication, or technical workflows through ef
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