Industrial batteries, chargers and power electronics for critical power
EnerSys builds stored energy systems for industrial, infrastructure and defense markets, and its stack shows deep hardware engineering: PLECS, LTspice, COMSOL and MATLAB alongside SiC MOSFET, GaN and IGBT work point to active high-power converter design. Hiring leans heavily toward manufacturing and engineering, with plant leadership roles and pain points around equipment reliability, quality KPIs and converter thermal management.
Notable leadership hires: Plant Team Lead, National Accounts Director, Business Development Lead, Plant Maintenance Lead
EnerSys is a publicly traded manufacturer headquartered in Reading, PA, with 5,001–10,000 employees. It produces batteries, chargers and power equipment for communications networks, data centers, energy infrastructure, material handling, transportation, and aerospace and defense. The company sells into more than 100 countries and is hiring across the United States, United Kingdom, Germany, Austria, France, Poland and Canada. Its operations run on SAP, Baan and Salesforce, with factory automation from Allen-Bradley, Siemens S7, Modicon and Fanuc.
EnerSys uses SAP, Baan and Salesforce for business systems, SolidWorks, Creo and Windchill for design, PLECS, MATLAB and LTspice for power electronics, and Allen-Bradley and Siemens S7 controls on the plant floor.
Yes. Engineering is one of its largest hiring areas after manufacturing, with work spanning power electronics, liquid cooling, modular PCS development and defense battery systems.
EnerSys is headquartered in Reading, PA, and hires in the United States, United Kingdom, Germany, Austria, France, Poland and Canada.
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EnerSys'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.