GaN and SiC power semiconductors for data centers, EVs, and grid infrastructure
Navitas designs and manufactures gallium nitride (GaN) and silicon carbide (SiC) power semiconductors for high-efficiency applications across AI data centers, electric vehicles, renewable energy, and industrial systems. The engineering-heavy hiring mix (14 open roles) and active roadmap around next-generation SiC devices and power management ICs signal sustained R&D investment, while yield improvement and high-volume production challenges in the pain-point list indicate the company is scaling manufacturing maturity alongside product innovation.
Notable leadership hires: GaN Technology Director
Navitas Semiconductor is a publicly traded power semiconductor manufacturer founded in 2014 and headquartered in Torrance, California. The company specializes in two core technology families: GaNFast power ICs (integrating GaN with on-chip drive, control, sensing, and protection) and GeneSiC high-voltage SiC devices (using patented trench-assisted planar architecture). Primary markets include AI data centers, performance computing, energy and grid infrastructure, and industrial electrification. The portfolio includes over 300 patents issued or pending and holds CarbonNeutral certification. With 201–500 employees, the company operates globally with hiring activity in the United States, China, and the Philippines.
Navitas develops GaNFast power ICs (integrated GaN with on-chip drive, control, sensing, and protection) and GeneSiC high-voltage SiC devices using patented trench-assisted planar technology. Both are designed for efficiency and reliability across data centers, EVs, solar, and grid applications.
Navitas' engineering stack includes Cadence Virtuoso and Spectre for simulation, SPICE variants (SIMetrix, LTspice), PLECS for power electronics, Altium and KiCad for PCB design, and MATLAB for modeling. TCAD modeling and device simulation are active focus areas.
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Navitas Semiconductor'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 →
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