Space-based radar constellation for real-time Earth observation
Array Labs builds end-to-end radar satellites for a coordinated orbital fleet designed to deliver real-time, high-resolution 3D mapping of Earth. The tech stack—FPGA (Xilinx Zynq UltraScale+), Vivado, MATLAB, C/C++, and signal-processing libraries (NumPy, SciPy)—is classical aerospace-hardware engineering. The hiring mix is 80% engineering (weighted toward senior and staff-level roles), with active projects spanning constellation deployment, power electronics, radar image formation, and the critical transition from prototype to operationalized systems—indicating a company moving from R&D into production scaling while still managing government proposal cycles.
Array Labs designs and manufactures advanced radar satellites for Earth observation, targeting government and commercial customers in disaster response, infrastructure resilience, and geopolitical intelligence. The company is building a fleet of satellites end-to-end, including the radar sensors, power conversion electronics, flight software (operating system and signal-processing pipelines), and the data products that convert raw radar into actionable 3D maps. Based in Palo Alto with 11–50 employees, the organization is heavily engineering-focused, with active work on system design, on-orbit performance optimization, and the transition of new technologies into funded government programs.
Array Labs is developing a constellation of space-based radar satellites to deliver real-time, high-resolution 3D Earth maps for disaster response, infrastructure monitoring, and intelligence applications.
Core tools include Xilinx Zynq UltraScale+ FPGAs, Vivado, MATLAB, Python, C/C++, HFSS, signal-processing libraries (NumPy, SciPy), and cloud platforms (AWS, GCP, Azure) for data processing and Kubernetes orchestration.
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Array Labs'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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