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GridCARE seeks a skilled professional to plan and analyze power distribution networks, using modeling and simulation to identify where the grid can accommodate new load. The role emphasizes practical decision-making based on study results and real-world constraints.
AI accelerates testing of scenarios, but human judgment remains essential for trustworthy results and safe connections. You will translate analyses into actionable grid connections and work with equipment and data center stakeholders.
This role asks for someone who can plan and analyze power distribution networks, likely using modeling and simulation to find where the grid has room for new load. A strong candidate brings hands on distribution planning experience, comfort with grid modeling tools, and the judgment to turn study results into practical connection decisions.
AI speeds up the modeling and screening work, letting planners test many scenarios and spot spare capacity faster. The human part stays central: judging which results are trustworthy, weighing real world constraints, and making the planning calls that affect the network.
Working here would build experience applying physics based AI to real grid planning problems, especially finding capacity for data center connections. A candidate can prepare by getting fluent in distribution modeling tools and learning how AI assisted studies are validated against engineering reality.
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
Physics-based AI that finds spare capacity on the existing power grid so data centers can connect in months instead of years, per the company.