Spire operates a deployed satellite constellation collecting real-time Earth data via RF technology. The stack reveals a hardware-forward company: heavy C++, VHDL, and embedded systems (ARM, Xilinx, LabVIEW, MATLAB, PetaLinux) sit alongside backend infrastructure (AWS, PostgreSQL, Databricks). The active project list—geolocation algorithm refinement, observability for satellite ops, legacy Python-to-Rust migration, flight-actuator qualification—shows Spire is simultaneously hardening signal-processing pipelines while modernizing ground infrastructure. Engineering dominance in hiring (30 of 55 open roles) and a notable "Space Reconnaissance Director" opening reflect the operational complexity of managing a constellation at scale.
Notable leadership hires: Space Reconnaissance Director
Spire is a public company (NYSE: SPIR) that builds, owns, and operates a satellite constellation to deliver global weather intelligence, maritime tracking (AIS/ADS-B), aviation surveillance, and RF spoofing/jamming detection. The business model spans two channels: direct analytics licensing to enterprises and governments, and "Space as a Service" infrastructure offerings that allow customers to deploy payloads on Spire's orbital network. The company has offices across the U.S., Canada, UK, Luxembourg, Germany, and Singapore. With 201–500 employees, Spire is early-to-mid stage in scaling from a pure satellite operator into a platform.
C++, VHDL, Python, Rust, AWS, PostgreSQL, Databricks for core systems; ARM and Xilinx for satellite hardware; LabVIEW, MATLAB, PetaLinux for embedded control and signal processing.
Vienna, Virginia, United States. Spire also operates offices in Canada, UK, Luxembourg, Germany, and Singapore.
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Spire'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.