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Scale Microgrids Tech Stack

Turnkey microgrid and distributed energy systems for data centers and industrial facilities

Electric Power Generation Ridgewood, New Jersey 51–200 employees Founded 2016 Privately Held
scalemicrogrids.com LinkedIn

Scale designs and finances complete microgrid installations—combining on-site power generation, energy storage, and optimization software—for data centers and large industrial customers. The tech stack reveals a sophisticated operations layer: Schneider Electric + Maximo for asset management, optimization engines (Pyomo, Gurobi, HiGHS), IoT protocols (MQTT, Modbus, OPC UA, DNP3), and grid standards (OpenADR). Heavy engineering hiring (16 of 27 open roles, mostly senior/director level) paired with active projects around data center architecture, simulation infrastructure, and fuel strategy signals aggressive scaling into hyperscale customers—though pain points around speed-to-power and customer acquisition suggest this segment remains competitive.

Tech Stack 27 technologies

Core StackPrimavera P6 Salesforce HubSpot AutoCAD FastAPI PostgreSQL React JavaScript TypeScript Python Asana Schneider Electric Maximo Pyomo HiGHS Gurobi MQTT AWS IoT AWS SQS Ignition Modbus OpenADR DNP3 JavaScript/TypeScript OPC UA Notion OpenAPI

What Scale Microgrids Is Building

◆Challenges

  • Develop robust microgrid pipeline
  • Cost-effective integration
  • Regulatory compliance for energy projects
  • Speed-to-power for hyperscale data centers
  • Acquiring hyperscale data center customers
  • Interconnection modifications
  • Transmission constraints and nodal pricing dynamics
  • Fuel reliability
  • Scalable design solutions
  • Transition to decentralized energy

▲Active Projects

  • Interconnection applications
  • Energy + land development framework
  • Distributed energy and microgrid projects
  • Fuel procurement strategy
  • Microgrid and data center architecture support
  • Solar battery generator designs
  • Simulation infrastructure for dispatch
  • On-site power generation and infrastructure projects for hyperscale data centers
  • Development of natural gas generation assets
  • Transition to decentralized energy

Hiring Activity

Accelerating25 roles · 20 in 30d

Department

Engineering
16
Sales
4
Ops
3
Legal
2
Operations
1
Product
1

Seniority

Senior
16
Director
10
Manager
1

Notable leadership hires: Legal Director

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About Scale Microgrids

Scale Microgrids is a vertically integrated energy solutions provider founded in 2016, headquartered in Ridgewood, New Jersey. The company serves data centers and large commercial/industrial facilities with complete microgrid systems: project design, engineering, operations, and financing. Their systems optimize multiple on-site resources (generation, storage, renewables) to improve reliability, reduce time-to-deployment, lower operating costs, and cut carbon emissions. The tech stack—spanning industrial controls (Ignition, Maximo), optimization algorithms (Gurobi, Pyomo), AWS IoT, and grid integration protocols—supports both design and real-time dispatch. With 51–200 employees and accelerating hiring focused on engineering and leadership, Scale is expanding capacity for larger deployments.

HeadquartersRidgewood, New Jersey
Company Size51–200 employees
Founded2016
Hiring MarketsUnited States, Canada

Frequently Asked Questions

What technology does Scale Microgrids use to control and optimize microgrids?

Scale uses Schneider Electric for industrial controls, Maximo for asset management, Pyomo and Gurobi for optimization algorithms, MQTT and Modbus for device communication, and AWS IoT for cloud connectivity. Ignition provides SCADA visualization; OpenADR and DNP3 enable grid integration.

What is Scale Microgrids working on?

Current projects include interconnection applications, energy + land development frameworks, solar and battery generator designs, simulation infrastructure for dispatch optimization, fuel procurement strategy, and on-site power systems for hyperscale data centers.

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How this profile is built

Scale Microgrids'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.