Xpeng's AI Infrastructure Head to Join OpenAI; 200-Person Team May Be Split

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Lu Siyuan, head of Xpeng Auto’s AI Infrastructure Department, is set to join OpenAI to lead embodied AI robot development. His team of 200 worked on AI infrastructure, training frameworks, GPU clusters, in-house chip compilers, model quantization, and in-car deployment. As the team may split into three units, hiring is active in robot software, simulation, and firmware. Amid developments surrounding MiCA (EU Markets in Crypto-Assets Regulation), liquidity and crypto markets remain sensitive to talent and technology shifts.

ME AI News, according to monitoring by Beating, Lu Siyuan, head of the AI Infrastructure Department at XPeng Motors, is set to depart and is currently in the process of handing over his responsibilities. His next destination is OpenAI, where he will contribute to the development of embodied intelligent robots. Lu Siyuan oversaw XPeng’s entire AI infrastructure, from model training to vehicle production, directly managing approximately 200 personnel. His responsibilities included training frameworks, GPU clusters, proprietary chip compilers, model quantization and optimization, and on-vehicle deployment. This role is particularly critical for XPeng, which pursues a self-developed chip strategy and must build its own compilers and inference runtime systems. With no successor yet identified, Lu’s team is expected to be split into more than three independent teams. OpenAI’s official website continues to recruit engineers in robotics software, simulation, and firmware. The company states that its robotics team is developing general-purpose robots capable of operating in real-world environments, integrating models, hardware, and software. (Source: BlockBeats)

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