•Work on hard computational problems in the electric grid, building optimization and simulation software for large-scale electric grid planning and operations problems.
•Key Responsibilities Build optimization and simulation software for large-scale electric grid planning and operations problems.
•Develop models and algorithms for resource scheduling, network constraints, system reliability, and large-scale operational planning.
•Translate mathematical ideas into clear, tested, maintainable code.
•Analyze computational performance, identify bottlenecks, and improve reliability.
•Learn, customize, and fine-tune optimization algorithms.
•Requirements A Master's degree or equivalent experience in a quantitative field such as engineering, computer science, applied math, physics, or operations research.
•Strong fundamentals in math, algorithms, and software engineering.
•Experience writing production-quality code in a language such as Python or Julia.
•Experience with optimization solvers, simulation tools, and large-scale numerical workflows.
Competitive salary, performance bonus, and equity, Comprehensive health, dental, and vision coverage, Lunch provided three days a week in office, Hybrid schedule: 3 days in office for collaboration, 2 days remote for focused work, Access to leading academic, industry, and government partners in the AI-energy ecosystem, A mission-driven team focused on shaping the future of the energy transition