Satellite constellation and ground-terminal manufacturer under Geely Holding
Geespace designs and manufactures satellite communication systems and ground terminals as part of Geely Holding's broader aerospace push. The stack reveals dual engineering domains: embedded systems (STM32, C, rt-thread, LoRaWAN) for IoT and ground devices, paired with geospatial and ML workflows (ArcGIS, ERDAS, OpenCV, GDAL) for satellite data processing. Active projects span test platforms, handheld terminals, and remote-sensing algorithms—suggesting hardware-software integration at scale. Hiring remains engineering-heavy (38 of 56 roles) with junior-skewed seniority, and procurement cost reduction ranks as a top pain point, indicating manufacturing margin pressure as production scales.
Geespace is a satellite communications and manufacturing company operating under Geely Holding Group in Shanghai. The business spans three interconnected areas: constellation services (satellite infrastructure), satellite manufacturing (hardware design and production), and ground applications (handheld terminals and data-processing systems). The company serves both telecommunications and Earth-observation use cases, leveraging embedded protocols (MQTT, CoAP, Bluetooth, LoRaWAN) for terminal connectivity and geospatial tooling (ArcGIS, ERDAS) for imagery analysis. With 201–500 employees and 56 open roles focused on engineering, Geespace is in active production and testing phase.
Geespace uses embedded C/C++, STM32 microcontrollers, rt-thread OS, and wireless protocols (LoRaWAN, MQTT, CoAP, Bluetooth) for ground terminals; ArcGIS, ERDAS, OpenCV, and GDAL for satellite data and remote sensing; and Kafka, MySQL, Redis, Zookeeper for backend systems. STK is used for satellite simulation and orbit design.
Core projects include satellite test-system design, satellite communication handheld terminals, comprehensive test platforms, data-transmission terminals, and large-scale test campaigns. Secondary initiatives include AI remote-sensing algorithms, LiDAR integration, and environment feature extraction for mapping.
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