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Peak Energy Tech Stack

Sodium-ion battery storage systems for grid-scale deployment

Energy Technology San Francisco Bay Area, California 51–200 employees Founded 2023 Privately Held

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.

Tech Stack 33 technologies

Core StackMATLAB Python C++ Docker Jira AutoCAD CATIA SolidWorks Adobe Premiere Pro Power BI SAP Oracle STAR-CCM+ COMSOL RTOS CMake Jama Connect Polarion Siemens NX NX ANSYS SPICE Altium PVsyst GIS PLECS IGBT Final Cut Pro CapCut Descript+3 more
AdoptingNetSuite

What Peak Energy Is Building

Challenges

  • Scaling next-generation energy storage production
  • Building finance infrastructure
  • Expanding manufacturing lines
  • Meeting production schedules
  • Ensuring equipment safety compliance
  • Bottlenecks impacting plan vs actual performance
  • Ensuring supplier quality and delivery
  • Building reliable hardware supply chain
  • Implementing erp system
  • Establishing accounting controls

Active Projects

  • Design and acquisition of testing equipment and infrastructure
  • Testing and functional verification of energy storage systems
  • Erp implementation
  • Gigawatt-scale energy storage system thermal design
  • Transition from prototype builds to scaled manufacturing
  • Lean/5s initiatives
  • Building production lines at sacramento facility
  • Engineering change orders
  • Supplier qualification and readiness
  • Production ramp and npi planning

Hiring Activity

Accelerating30 roles · 15 in 30d

Department

Engineering
16
Manufacturing
5
Finance
4
Legal
1
Logistics
1
Product
1
Projects
1
Sales
1

Seniority

Senior
14
Mid
6
Intern
2
Junior
2
Lead
2
Manager
2
Director
1
Staff
1

Notable leadership hires: Manufacturing Shift Lead, Manufacturing Director

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About Peak Energy

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.

HeadquartersSan Francisco Bay Area, California
Company Size51–200 employees
Founded2023
Hiring MarketsUnited States

Frequently Asked Questions

What is Peak Energy's tech stack?

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.

Where is Peak Energy's manufacturing facility?

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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How this profile is built

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.