SEAKR, an RTX subsidiary, designs FPGA- and ASIC-based space electronics, and its stack shows deep hardware rigor: Verilog, VHDL, SystemVerilog with UVM, QuestaSim, Xilinx Vivado, plus Ansys HFSS/SIwave and Siemens Xpedition for signal integrity and board layout. Yocto adoption points to growing embedded Linux work. Accelerating, senior-heavy engineering hiring plus a Chief Engineer search lines up with RF development and product portfolio scaling.
Notable leadership hires: Chief Engineer
SEAKR is a Centennial, Colorado–based space electronics maker founded in 1982 and owned by RTX. It designs, builds, tests, and delivers on-board processing and networking, memory and data management, and avionics hardware, with core expertise in FPGA and ASIC solutions and radiation effects. The company adapts commercial electronics for space use and supports commercial and government programs, both domestic and international, across traditional and proliferated constellations. It employs 201–500 people and hires in the United States.
SEAKR uses Verilog, VHDL, SystemVerilog, UVM, ModelSim, QuestaSim, Xilinx Vivado, Cadence, Ansys HFSS and SIwave, Siemens Xpedition, MATLAB, C++, Python, and Yocto, with SAP, Oracle, and IFS for business systems.
Yes. Hiring is accelerating and dominated by engineering, mostly at senior and staff levels, with a Chief Engineer role open. Smaller openings span finance, product, and sales, all in the United States.
Job posts point to integrating and testing spacecraft electronics, developing RF systems for space vehicles, scaling the product portfolio, running IRAD programs, and coordinating radiation testing.
Other companies in the same industry, closest in size
SEAKR'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.
