GridCARE
AI
OptimizationEngineer,GridSystems
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Optimization Engineer, Grid Systems at GridCARE. Skills: Optimization, Simulation, Software development, Electric grid. Build optimization software. Build simulation software”
Industry & Context.
Solve difficult technical problems; Solve difficult optimization problems
What They're Looking For.
Must Have
Master's degree or equivalent experience in quantitative field, Fundamentals in math, algorithms, software engineering, Production-quality code in Python or Julia, Experience with optimization solvers, Experience with simulation tools, Experience with large-scale numerical workflows, Ability to reason from first principles, Ability to learn unfamiliar technical areas quickly, Debugging skills, Communication skills, Collaboration skills, Leverage modern AI tools and workflows, 1–5 years industry experience in optimization, modeling, simulation, or scientific software development
Nice to Have
Exposure to power systems, Exposure to energy markets, Exposure to utility industry, Exposure to optimization, Exposure to operations research, Exposure to numerical methods, Exposure to scientific computing, Exposure to large-scale infrastructure systems
What You'll Do.
Build optimization software
Build simulation software
Develop models for resource scheduling
Develop models for network constraints
Develop models for system reliability
Develop models for operational planning
Translate mathematical ideas into code
Write maintainable code
Analyze computational performance
Identify performance bottlenecks
Learn optimization algorithms
Customize optimization algorithms
Fine-tune optimization algorithms
Work with real-world data
Work with real-world constraints
Collaborate across software engineering
Collaborate across applied AI
Collaborate across power systems
Take ownership of modeling challenges
Take ownership of optimization challenges
How You'll Work.
Team & Collaboration
Software engineering; Applied AI; Power systems
Full Job Description
ABOUT US GridCARE is a leading venture-backed startup solving the most critical constraint in AI’s growth trajectory: immediate access to power. As demand for computing skyrockets, access to energy has become the defining bottleneck in the AI infrastructure race. While leading tech companies invest billions in speculative, long-term solutions that may take decades to arrive, GridCARE’s pioneering physics-based generative AI platform unlocks gigawatts of hidden capacity in today’s electric grid — enabling hyperscalers, data center developers, and utilities to power AI infrastructure years sooner than conventional approaches and without costly upgrades. Founded at Stanford’s Doerr School of Sustainability and backed by leading investors, GridCARE has assembled a world-class team spanning power systems, AI, and infrastructure. At GridCARE, you will: - Work at the intersection of AI, energy, and infrastructure — the foundation of the next industrial revolution. - Partner with hyperscalers, developers, and utilities on high-impact, real-world deployments. - Help shape a more abundant, efficient, and resilient energy future for the digital era. - Join a company defining a new category — capacity acceleration for AI. - Receive competitive compensation, equity, and benefits in a fast-growth, mission-driven environment. ABOUT THE ROLE We'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 - B
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