Physical Systems Modeling Engineer

Summary

GridCARE is a company developing physics-based generative AI for improving access to electric-grid capacity for AI infrastructure. The Physical Systems Modeling Engineer will build simulation, forecasting, and scenario-generation models for data center power systems, analyze historical data, evaluate model performance, and support planning decisions from intraday operations through multi-year infrastructure development.

Responsibilities

• Build models that accurately represent the physical systems inside of a data center
• Develop simulation frameworks that capture uncertainty, growth trajectories, and operational behavior across planning horizons
• Explore how changes in technology, utilization, deployment strategies, and external factors influence future energy consumption
• Analyze historical data to identify patterns, drivers, and sources of uncertainty
• Evaluate model performance and continuously improve assumptions, methodologies, and predictive accuracy
• Collaborate with engineers, researchers, and business stakeholders to translate practical questions into quantitative analyses
• Communicate model assumptions, limitations, and findings clearly to both technical and non-technical audiences
• Take ownership of key modeling components and drive them from concept through validation and deployment

Skills

• • Bachelor's, Master's, or PhD in a quantitative field, with 1–5 years of relevant industry or applied research experience
• • Experience working with data, mathematical models, simulations, forecasting problems, and time-series analysis
• • Experience with forecasting under uncertainty, probabilistic modeling, or scenario generation
• • A passion for understanding how data centers work and operate: their components, load behavior, operating constraints, and how that operation interacts with the electric grid
• • Proficiency in Python or a similar programming language
• • Ability to think from first principles and learn unfamiliar technical domains quickly
• • Comfort working with ambiguity and open-ended questions
• • Strong written and verbal communication skills
• • Demonstrated ability to effectively use AI tools in technical workflows
• • Exposure to infrastructure systems, energy systems, cloud computing, data centers, telecommunications networks, or other large-scale engineered systems
• • Exposure to data center, GPU, CPU power consumption modeling
• • Experience modeling data center to grid interaction, such as interconnection, load response, or capacity constraints
• • Experience developing models used to support real-world operational or planning decisions
• • Experience working with large datasets

Qualifications

Must Haves

• • Bachelor's, Master's, or PhD in a quantitative field, with 1–5 years of relevant industry or applied research experience
• • Experience working with data, mathematical models, simulations, forecasting problems, and time-series analysis
• • Experience with forecasting under uncertainty, probabilistic modeling, or scenario generation
• • A passion for understanding how data centers work and operate: their components, load behavior, operating constraints, and how that operation interacts with the electric grid
• • Proficiency in Python or a similar programming language
• • Ability to think from first principles and learn unfamiliar technical domains quickly
• • Comfort working with ambiguity and open-ended questions
• • Strong written and verbal communication skills
• • Demonstrated ability to effectively use AI tools in technical workflows

Nice to Haves

• • Exposure to infrastructure systems, energy systems, cloud computing, data centers, telecommunications networks, or other large-scale engineered systems
• • Exposure to data center, GPU, CPU power consumption modeling
• • Experience modeling data center to grid interaction, such as interconnection, load response, or capacity constraints
• • Experience developing models used to support real-world operational or planning decisions
• • Experience working with large datasets

Benefits

• Equity
• Hybrid in Redwood City with remote flexibility