Solar project developer and operator across the full asset lifecycle
Nexamp develops, finances, and operates solar energy assets across the U.S., with engineering and finance-heavy hiring accelerating around SCADA deployment and grid-integration challenges. The tech stack reveals dual infrastructure: traditional power-systems tools (ETAP, PSCAD, AutoCAD) for design and engineering, paired with modern cloud and application layers (Azure, Salesforce, NetSuite, React, Python, Databricks). Active projects center on SCADA standardization, real-time monitoring of distributed assets, and grid-interaction optimization—suggesting operational complexity is driving platform maturity.
Nexamp is a solar energy company founded in 2007, headquartered in Boston, operating across the full project lifecycle: development, engineering, procurement, construction, financing, asset management, and maintenance. The portfolio spans residential, commercial, and community solar installations across the United States. The company serves property owners, businesses, communities, and utilities. With 201–500 employees and accelerating hiring (29 roles posted in the last 30 days), the organization is scaling engineering, finance, and sales capacity in parallel, reflecting growth in both project deployment and operational asset management.
Engineering and design tools (ETAP, PSCAD, AutoCAD, PVsyst) for solar systems; SCADA and Ignition for operations and real-time monitoring; enterprise platforms (Salesforce, NetSuite, SAP, Oracle); cloud infrastructure (Azure, Databricks); and development languages (Python, Django, React, TypeScript, Terraform).
Active projects include SCADA deployment and engineering standards development, grid-interaction optimization, utility interconnection management, real-time monitoring of distributed solar and battery-storage assets, and commercial/industrial renewable design. The company is also scaling internal processes and expanding third-party vendor programs.
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Nexamp's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.