Physical Systems Modeling Engineer for AI Data Centers

GridCARE; Redwood City (CA); Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Hybrid work in Redwood City

Remote flexibility

Competitive salary

Equity

Benefits

Job summary

GridCARE is seeking a quantitative engineer to build models that describe data center power usage and its evolution. You will develop simulation and forecasting models for current and future data centers to inform planning from intraday operations to multi-year infrastructure.

Ideal candidates have 1–5 years in data-driven modeling, experience with time-series forecasting, and strong Python skills. You will collaborate with AI and energy-domain experts in a fast-growing startup.

Qualifications

• Bachelor's/Master's/PhD in a quantitative field with 1–5 years of relevant experience.
• Experience with data, mathematical models, simulations, forecasting problems, and time-series analysis.
• Forecasting under uncertainty, probabilistic modeling, or scenario generation.
• Strong written and verbal communication skills.
• Demonstrated ability to leverage AI tools in technical workflows.

Responsibilities

• Build models that accurately represent data center physical systems.
• Develop simulation frameworks capturing uncertainty and growth trajectories across planning horizons.
• Explore how technology, utilization, deployment, and external factors influence future energy consumption.
• Analyze historical data to identify patterns and drivers of uncertainty.
• Collaborate with engineers and stakeholders to translate questions into quantitative analyses.
• Communicate model assumptions and findings clearly to technical and non-technical audiences.
• Own key modeling components from concept through validation and deployment.

Skills

Python

Time-series analysis

Forecasting

Mathematical modeling

Data analysis

AI tools

Communication skills

Education

Bachelor's/Master's/PhD in quantitative field

Job description

GridCARE is seeking a quantitative engineer to build models that describe data center power usage and its evolution. You will develop simulation and forecasting models for current and future data centers to inform planning from intraday operations to multi-year infrastructure.

Ideal candidates have 1–5 years in data-driven modeling, experience with time-series forecasting, and strong Python skills. You will collaborate with AI and energy-domain experts in a fast-growing startup.