About the roleWe're looking for an engineer in the early stages of their career who has demonstrated the ability to solve difficult technical problems in a professional or research setting to work on hard computational problems in the electric grid. This role is ideal for someone who enjoys solving difficult optimization problems and building software that has a direct impact on critical infrastructure. You'll work closely with experienced engineers and researchers to build tools that help make the grid more flexible, efficient, and resilient as data centers, renewables, storage, and new regulations reshape how electricity systems operate.
What you'll do- 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.
- Work with real-world data and constraints from large physical systems.
- Collaborate across software engineering, applied AI, and power systems.
- Take ownership of important modeling and optimization challenges.
What we're looking for- 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.
- Ability to reason from first principles and learn unfamiliar technical areas quickly.
- Strong debugging, communication, and collaboration skills.
- Effectively leverage modern AI tools and workflows to accelerate model development, experimentation, and software engineering.
- 1-5 years of industry experience, or equivalent applied research experience, in optimization, modeling, simulation, or scientific software development.
Nice to have- Exposure to power systems, energy markets, or the utility industry.
- Exposure to optimization, operations research, numerical methods, scientific computing, or large-scale infrastructure systems.
- Interest in electricity infrastructure, climate, energy, or industrial AI.
What We Offer- 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.
Salary Range$140,000-$220,000
Join us in tackling one of the most important infrastructure challenges of our time - enabling the energy foundation for the age of AI. 
