Physical Systems Modeling Engineer
About The Position
We are looking for a quantitative engineer to help build the models at the core of how GridCARE understands data center power: how facilities consume energy today, and how that consumption will evolve over time. In this role, you will develop simulation and forecasting models for existing and future data centers and the components inside data centers that will be used to support planning decisions across the full horizon, from intraday operations to multi-year infrastructure development. The goal is not simply to predict future demand, but to build models that can generate realistic future operating scenarios under a wide range of assumptions and conditions. This role is well suited for someone who enjoys reasoning about complex systems, working with imperfect data, and translating real-world behavior into quantitative models. You should be excited to learn new domains and apply rigorous analytical thinking to difficult problems.
Requirements
- 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.
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.
Benefits
- Competitive compensation, equity, and benefits in a fast-growth, mission-driven environment.
- Competitive salary, equity, and benefits; hybrid in Redwood City with remote flexibility
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
High school or GED
