Hiring: Modeling Engineer Company: GridCARE Location: Redwood City, CA Job Posted Time: 2026-09-10 13:56:29 Employment Type: Full-time / Remote Target Skills & Keywords : Python, SaaS About the job Experience: •5 years of relevant industry or applied research experience. Required Skills: •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. •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. •Partner cross-functionally 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. Qualifications: •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. •Work on a problem that directly affects the speed of deploying AI and energy infrastructure •Own technical direction on a product built from the ground up alongside domain experts •Meaningful organizational influence in a small, high-trust team •Competitive salary, equity, and benefits; hybrid in Redwood City with remote flexibility •We believe small teams of strong engineers can solve important, real-world infrastructure problems. We value clear thinking, strong ownership, pragmatic execution, and systems that hold up in production. If you're excited about technical leadership at the intersection of energy, infrastructure, and modern SaaS — we'd love to talk. Compensation: •Flexible work environment (work from home / hybrid options) •Competitive compensation, equity, and benefits in a fast-growth, mission-driven environment Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!