Wi-Fi HaLow chipsets for long-range, battery-efficient IoT devices
Morse Micro designs Wi-Fi HaLow (802.11ah) semiconductor solutions for IoT applications requiring extended range and minimal power consumption. The stack—SystemVerilog, Cadence, Synopsys, RISC-V, ARM Cortex, FreeRTOS—reflects a classical fabless chip design operation, with active adoption of RISC-V and Wi-Fi signaling a push toward IP differentiation. Hiring is heavily weighted toward senior and principal engineering roles, concentrated in Australia, suggesting a phase of design completion and production readiness rather than exploration.
Morse Micro is a fabless semiconductor company founded in 2016 by Wi-Fi pioneers and industry veterans, producing low-power Wi-Fi HaLow chips for IoT devices including surveillance, access control, industrial automation, and mobile applications. The company operates from Surry Hills, Australia, with additional offices in China, India, and the U.S. Current project focus spans 802.11ah PHY development, silicon bring-up, design-for-test implementation, and high-volume production testing. Active pain points center on silicon validation, yield optimization, time-to-market, and scaling to mass production—typical challenges for a fabless design house moving from prototype to volume.
Cadence and Synopsys for chip design, SystemVerilog and Verilog for HDL, Verilator and cocotb for simulation, LitePoint for RF testing, and Vector Network Analyzer for characterization.
Wi-Fi HaLow (802.11ah) chipsets that extend range 10x beyond conventional Wi-Fi and operate for years on single-battery power, targeting IoT applications from surveillance to industrial automation.
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Morse Micro'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.