Electronically steered satellite antennas for mobile connectivity
Kymeta manufactures flat-panel satellite antennas using metamaterial science, targeting government, military, maritime, and transport sectors. The tech stack—ANSYS HFSS, MATLAB, SystemVue, STK, plus embedded Linux and real-time OS—reflects deep hardware-simulation and RF engineering maturity. Current hiring (8 engineers, 1 sales role, all US-based) skews engineering-heavy with senior-level focus, while active projects span antenna steering concepts, production automation, and multi-orbit satellite control software. Pain points cluster around manufacturing quality, PLM tooling, and scaling commercial programs—typical of hardware-software companies crossing from prototype to volume production.
Kymeta designs and manufactures electronically steered flat-panel antennas for satellite communications in motion. Founded in 2012 and based in Redmond, WA, the company holds over 150 patents in metamaterial antenna technology. The product line integrates satellite and cellular networks with edge processing and software-defined networking, serving mission-critical applications in defense, maritime, emergency response, and transportation. Operations span RF design, embedded software (Linux, RTOS), manufacturing test automation, and channel partner coordination. The company is 201–500 employees and remains privately held.
Metamaterial-based electronically steered flat-panel antennas for mobile satellite communications. The design enables seamless connectivity on moving platforms without mechanical tracking.
RF and antenna simulation: ANSYS HFSS, MATLAB, SystemVue, STK. Embedded systems: C/C++, Python, Embedded Linux, RTOS. Manufacturing: Jenkins, Docker, pytest, Vector Network Analyzer. Project/docs: Jira, Microsoft Project, MadCap Flare.
Government, military, maritime, transport, and public safety sectors worldwide. Solutions focus on critical, mobile applications requiring continuous connectivity in challenging environments.
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Kymeta Corporation'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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