Autonomous vehicle perception and control systems for China market
盛科科技 builds perception and control algorithms for unmanned vehicles, with a tech stack spanning PyTorch, TensorFlow, OpenCV, ROS, and Autoware — the full depth of modern autonomous-systems engineering. Active projects span sensor fusion, obstacle detection, LiDAR navigation, and chassis control. The hiring profile is sales-heavy (8 roles) against a smaller engineering core (4), and pain points center on customer acquisition and order closure rather than product development, suggesting a transition from R&D into go-to-market execution.
Notable leadership hires: Sales Director
盛科科技 develops perception algorithms, sensor fusion pipelines, and vehicle-control systems for autonomous and unmanned platforms. The company operates in China, serving customers in special vehicle operations and unmanned mobility. Projects include obstacle detection and classification pipelines, LiDAR-based localization and navigation, and chassis-level control algorithms. Current hiring emphasis is on expanding the sales organization (8 open roles) alongside engineering and product teams, indicating a shift toward scaling revenue from existing technology.
PyTorch, TensorFlow, OpenCV for perception; ROS, ROS 2, Autoware, Apollo for autonomous-vehicle frameworks; Spring Cloud, Java, MySQL, Redis for backend infrastructure; Linux and ARM for embedded systems.
Autonomous-vehicle perception systems including sensor fusion, obstacle detection and tracking, LiDAR-based navigation and positioning, chassis control algorithms, and IoT platform infrastructure for unmanned mobile platforms.
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