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Jobgether is listing a Principal Resource Adequacy Planning Engineer based in the United States, remote opportunity focused on probabilistic studies using SERVM to assess LOLE, ELCC, capacity accreditation, and planning reserve margins. You will lead complex analyses, establish modeling standards, and mentor engineers, presenting findings to senior leaders.
This role blends grid reliability with cross-functional collaboration.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Resource Adequacy Planning Engineer based in the United States. Join a team dedicated to strengthening electric grid reliability across the Western Interconnection. As Principal Resource Adequacy Planning Engineer, you will lead advanced probabilistic resource adequacy studies and provide technical guidance on critical planning decisions. You will use SERVM to conduct complex Loss of Load Expectation (LOLE), Effective Load Carrying Capability (ELCC), capacity accreditation, and planning reserve margin analyses. Combining deep technical expertise with strong stakeholder engagement, you will help utilities and industry partners understand analytical findings and their implications. You will also establish modeling standards, mentor technical professionals, and advise senior decision-makers. This remote opportunity offers a highly visible role at the intersection of power system planning, grid reliability, and industry collaboration.
You will lead the technical development and delivery of resource adequacy studies while serving as a trusted advisor to stakeholders and senior decision-makers. Your responsibilities will include:
The ideal candidate combines extensive experience in probabilistic resource adequacy modeling with the ability to communicate complex technical concepts to diverse audiences. Required qualifications include:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.