3 дня назад
Grid Transformation Lead (Power Systems)
160 000 - 220 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Grid Transformation Lead (Power Systems): Developing analytical frameworks and simulation workflows for a transforming Texas electric grid with an accent on power systems simulation, mathematical optimization, and emerging grid technologies. Focus on modeling inverter-based resources and large loads, automating large-scale studies, and leading cross-functional partnerships across the energy industry.
Location: Taylor, Texas, United States; hybrid
Expected salary: $160,000–$220,000 per year
Company
develops solutions for the Texas power grid and wholesale electricity market.
What you will do
- Develop a forward-looking vision and analytical frameworks for challenges facing the transforming electric grid.
- Apply power system simulation results to planning studies, operational analyses, and grid transformation initiatives.
- Develop documented simulation workflows, case management practices, and automation pipelines for reproducible large-scale studies.
- Research emerging generation, transmission, distribution, and grid technologies and assess their impact on .
- Propose protocols, guides, and procedures for emerging solutions and market participation.
- Lead cross-functional teams and build partnerships with research organizations, universities, industry consortiums, and external stakeholders.
Requirements
- At least 8 years of job-related experience beyond degree requirements, including 8 years in electric power grid operations or planning.
- At least 8 years of hands-on experience with mathematical optimization, simulation engines, and open-source development.
- Deep expertise in at least two simulation domains, including power flows, SCOPF, production cost modeling, or capacity expansion modeling.
- Strong knowledge of numerical solvers and optimization engines such as CPLEX, IPOPT, and Gurobi, including LP, MIP, QP, and NLP formulations.
- Ability to formulate, implement, and debug optimization models for OPF, unit commitment, dispatch, and resource adequacy.
- Bachelor’s degree in electrical engineering, mathematics, operations research, or a related field; proficiency in Python or C/C++ and GitHub required.
Nice to have
- Master’s or PhD in electrical engineering, mathematics, operations research, or a related field.
- Experience with AI development toolkits.
Culture & Benefits
- Inclusive and collaborative work environment.
- Opportunities to develop new skills and grow professionally.
- Work involves collaboration with academic institutions, research organizations, and industry consortiums.
- Some travel is required within the United States and internationally.
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