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BackNvidia Expands Robotics Team in China with New Hires Across Key Cities
Nvidia Expands Robotics Team in China with New Hires Across Key Cities
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SCMP Tech30.06.2026Tecnología1 dk okumaChina

Nvidia Expands Robotics Team in China with New Hires Across Key Cities

En resumen

Nvidia is recruiting for over a dozen robotics roles in Beijing, Shanghai, and Shenzhen, focusing on embodied intelligence, simulation, and AI systems for humanoid robots like Project GR00T, aiming to accelerate real-world deployment of autonomous machines.

Resumen generado por IA

Por qué importa

Nvidia is a Silicon Valley firm actively developing advanced AI and robotics technologies, including the Project GR00T humanoid robot foundation model and the Cosmos physical simulation world model.

Tamaño de fuente

The Silicon Valley firm is recruiting for more than a dozen roles across Beijing, Shanghai and Shenzhen, according to a post on its official WeChat account on Monday. The positions span four key domains: embodied intelligence, simulation, implementation and solutions.

Nvidia said its robotics team planned to build a “leading robotics platform and ecosystem to help developers and companies create autonomous machines”, with the aim of accelerating the journey of robots from research labs into real-world deployment across various business scenarios.

Job descriptions revealed that employees would work around its technologies including the Project GR00T humanoid robot foundation model, the Cosmos physical simulation world model, and the company’s GPU-accelerated computing platforms, consisting of an all-around robotics technology development ecosystem, the company noted in the post.

Positions up for hire included engineers specialising in dexterous manipulation, whole-body control, and experts who would focus on robot learning and AI systems optimisation for humanoid robots.

Preguntas abiertas

  • What is the exact number of roles being recruited?
  • What is the timeline for these hires?
  • What specific business scenarios are targeted for deployment?

Temas relacionados

This article was originally published by SCMP Tech.

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