VOYAH is Dongfeng Motor's dedicated EV brand, building AI-powered smart electric vehicles with a heavy focus on perception models, large language model deployment, and autonomous driving stack. The tech stack (TensorFlow, PyTorch, C/C++, ROS, QNX) reflects automotive-grade AI infrastructure; active projects span end-to-end LLM deployment, perception optimization, and driving data platforms — signaling a shift from traditional EV manufacturing toward software-defined vehicles. Hiring is heavily intern/junior-weighted with engineering-dominant mix, typical of scaling applied ML teams in automotive.
VOYAH develops high-end smart electric vehicles as a strategic business unit of Dongfeng Motor, one of China's largest automotive manufacturers. The company leverages over 50 years of Dongfeng's vehicle manufacturing expertise, supply chain infrastructure, and financial resources to produce next-generation NEVs. Core capabilities include advanced battery technology, autonomous driving systems, and in-cabin interaction experience. The organization operates from Wuhan, Hubei with around 1,000–5,000 employees and focuses on technology differentiation in the competitive EV market.
VOYAH's autonomous stack includes TensorFlow and PyTorch for deep learning, ROS (Robot Operating System) for robotics middleware, QNX for real-time OS, C/C++ for low-level systems, and MATLAB for simulation and algorithm development.
Current projects focus on end-to-end large model deployment, perception model optimization, driving data platform construction, LLM inference pipelines (MoE), autonomous agent frameworks, and cabin interaction experience improvement.
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