Neural AI

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Distributed Energy Resources (DER) Engineer

Energy Mid-level (L4 equivalent) 2-5 years
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The job description

Tech stack. DERMS/VPP platforms, IEEE 1547 test procedures, OpenADR, Python, hosting capacity tools (CYME, Synergi), AMI data analytics

About the role

You will join a distributed energy company orchestrating fleets of rooftop solar, batteries, EVs, and smart thermostats into virtual power plants. The engineering team owns device integration, dispatch algorithms, and grid services delivery across thousands of customer sites. This role matters because the aggregated fleet is only as reliable as your engineering, and utilities and grid operators are buying firm capacity from resources you make dispatchable. You will engineer the aggregation layer where rooftop solar, batteries, EVs, and flexible loads become a dispatchable virtual power plant. The role includes telemetry architecture, dispatch algorithm tuning, and the settlement-grade metering that proves performance to grid operators. You will work through interconnection and market participation rules that differ by ISO, shaping enrollment strategies that maximize both grid value and customer economics. Forecasting is central to the job: your models of fleet availability determine how much capacity the business can confidently bid.

What you will achieve

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