Sodium-ion battery storage systems for grid-scale deployment
Peak Energy manufactures sodium-ion battery storage systems targeting utility and independent power producer deployments, with first systems shipping in 2025 and a domestic gigafactory planned for 2027. The tech stack—MATLAB, ANSYS, COMSOL, CATIA, SolidWorks for simulation and design—reflects a hardware-engineering-first approach; the hiring velocity (15 roles in 30 days, heavily weighted toward manufacturing and senior engineers) and active projects (production line buildout in Sacramento, NPI planning, supplier qualification) show the company is transitioning from prototype validation into scaled manufacturing. NetSuite adoption signals growing operational complexity as production ramps.
Notable leadership hires: Manufacturing Shift Lead, Manufacturing Director
Peak Energy designs and manufactures sodium-ion battery energy storage systems for grid and microgrid applications. Founded in 2023 and based in the San Francisco Bay Area, the company is backed by leadership with prior experience scaling battery and energy infrastructure at Tesla, Northvolt, SunPower, Fluence, and Enovix. Current operations center on testing and functional verification, thermal design optimization for gigawatt-scale systems, and production setup at a Sacramento facility. The company employs 51–200 people across engineering, manufacturing, finance, and supply-chain functions, with hiring concentrated in manufacturing and senior engineering roles.
Engineering and design: MATLAB, ANSYS, COMSOL, CATIA, SolidWorks, AutoCAD, Siemens NX. Simulation: STAR-CCM+, SPICE, PLECS. ERP/business: SAP, Oracle, NetSuite (adopting). Manufacturing and testing workflows use Jira, Polarion, and Jama Connect.
Peak Energy is building production lines at a Sacramento facility as part of its transition from prototype validation to scaled manufacturing. A domestic gigafactory is planned for 2027.
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Peak Energy'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.