Optimization Engineer, Grid Systems

What you'll do

• Develop grid optimization and simulation models, algorithms, and software for scheduling, network constraints, reliability, and operational planning.
• Turn mathematical ideas into tested, maintainable code; analyze performance and improve computational reliability.
• Customize and fine-tune optimization algorithms using real-world data, collaborating across software engineering, applied AI, and power systems.

What they ask for

• 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; ability to reason from first principles and learn unfamiliar areas quickly.
• Experience writing production-quality code in a language such as Python or Julia, and with optimization solvers, simulation tools, and large-scale numerical workflows.
• Strong debugging, communication, and collaboration skills; ability to leverage modern AI tools and workflows.

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.

Pay

$140,000–$220,000 (USD, base salary)

Tools

Python, Julia

AI focus

Use modern AI tools and workflows to accelerate model development, experimentation, and software engineering; work on optimization and simulation for electric-grid infrastructure.