Autonomous driving stack and fiber materials R&D in China
Huanlong New Materials operates a dual-track business: autonomous vehicle software (maps, large models, real-time optimization) and advanced fiber composites. The tech stack—UG NX, C++, Python, CUDA, TensorFlow, ROS 2, CARLA, Apollo—reflects a mature embedded/automotive engineering discipline. Heavy junior engineer hiring (19 of 21 engineering roles) paired with sparse senior/mid coverage suggests rapid scaling of execution capacity while leadership remains lean; concurrent adoption of Transformer models indicates active pivot toward neural network-based perception or planning.
Notable leadership hires: Finance Director, Financial Vice Director
Huanlong New Materials is a 31-person materials and autonomous systems company based in Meishan, Sichuan Province, China, with hiring also in Italy. The business spans two operational streams: autonomous driving software (high-precision mapping, real-time dynamic map updates, large model development, deployment tools) and fiber material product development and upgrades. Active projects include autonomous driving large model development, high-precision map deployment, real-time dynamic map updates, and fiber material product upgrades. Internal challenges center on real-time system optimization, project delivery coordination, production cost reduction, and organizational scaling.
Core: UG NX, C++, Python, CMake, Linux, ROS 2, CARLA, Apollo, CUDA, TensorFlow, TensorRT. Infrastructure: GitLab, Jenkins. Hardware targets: NVIDIA, Qualcomm, ARM, FPGA, DSP. Adopting Transformer models.
Autonomous driving: high-precision map deployment, real-time dynamic map updates, large model development, deployment tools. Materials: fiber material product upgrades. Cross-functional: model training platform optimization, algorithm regression platform optimization.
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