Optimization Engineer, Grid Systems

The role

You will build optimization and simulation software for large-scale electric grid planning and operations. You will develop models and algorithms for resource scheduling, network constraints, and system reliability.

What you will 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.

Required qualifications

• 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 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.

Benefits

• Competitive salary, performance bonus, and equity.
• Comprehensive health, dental, and vision coverage.
• Lunch provided three days a week in office.
• Access to leading academic, industry, and government partners in the AI-energy ecosystem.

About the company

GridCARE is the pioneer of Power Acceleration, using physics-based AI to identify and activate hidden capacity in the electric grid. Founded at Stanford's Doerr School of Sustainability, the company enables hyperscalers, data center developers, and utilities to power AI infrastructure.