GaN power ICs and high-voltage SiC devices for power electronics
Navitas Semiconductor designs GaN power ICs and high-voltage SiC devices aimed at AI data centers, grid infrastructure and industrial electrification. Hiring is overwhelmingly engineering and senior-weighted, and job-post pain points cluster around yield, test cost and high-volume production, which marks a company pushing new GaN generations into mass manufacturing. The back office runs Dynamics 365 Business Central and Salesforce, tied together with Boomi and MuleSoft, while integration of legacy systems remains an open issue.
Notable leadership hires: GaN Technology Director
Navitas Semiconductor is a Nasdaq-listed power semiconductor company founded in 2014 and headquartered in Torrance, California. It develops gallium nitride power ICs, which combine power, drive, control, sensing and protection functions, alongside high-voltage silicon carbide devices for medium-voltage applications. Target markets include AI data centers, performance computing, energy and grid infrastructure, industrial electrification, EVs, solar and fast chargers. The company employs 201–500 people, holds over 300 issued or pending patents, and hires in the United States and the Philippines.
Engineering uses SPICE, LTspice, SIMetrix, PLECS, Altium Designer and Cadence Virtuoso. Business systems include Dynamics 365 Business Central, Salesforce, Boomi, MuleSoft and Power Automate, running across AWS, Azure and GCP.
Yes. Engineering dominates current openings, with a strong tilt toward senior and principal roles and a GaN Technology Director search. Overall hiring velocity is decelerating, and roles are based in the United States and the Philippines.
Job posts point to next-generation GaN technology development, evaluation board design, new product introduction, alternate-site qualification, mass production releases and automated yield reporting.
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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 →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.