Satellite remote sensing and computer vision for Earth observation
北京零重空间技术有限公司 builds satellite remote sensing systems with embedded FPGA design (Xilinx, VHDL, Verilog) paired to production-grade computer vision (PyTorch, TensorFlow, YOLO, Faster R-CNN, semantic segmentation). The stack—hardware design tools (ModelSim, Zemax for optics) layered with modern ML frameworks—reveals a company bridging satellite payload engineering and automated image analysis. Active projects span detector technology breakthroughs, remote sensing camera lens design, and land cover classification pipelines, but hiring velocity is minimal (11 roles total, none posted last 30 days), and pain points cluster around sales and market development rather than engineering capacity.
北京零重空间技术有限公司 is a semiconductor and satellite remote sensing company headquartered in Beijing, China. The organization designs embedded systems for Earth observation satellites, combining FPGA hardware (PCIe, DDR2 interconnect) with ML-driven image processing pipelines for automated target detection and land cover classification. Current workstreams include detector technology development, remote sensing camera optics and structural design, and supporting infrastructure (financial reporting and capital management systems). The 11-person team is engineering-dominant (9 roles), with minimal sales and finance functions, and operates exclusively within China.
FPGA design (Xilinx, VHDL, Verilog), computer vision (PyTorch, TensorFlow, YOLO, Faster R-CNN, Vision Transformer), optical design (Zemax), hardware interconnect (PCIe, DDR2, HDMI), and image processing (OpenCV, GDAL) across embedded and ML applications.
Beijing, China. The company operates exclusively in China and currently has no active job postings.
Satellite remote sensing for Earth observation, including detector technology development, automated target detection and land cover classification, remote sensing camera lens design, and supporting financial and capital management infrastructure.
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