OpenAI Restarts Robot Business, Automan Seeks Engineers for Infrastructure R&D
On June 1st, OpenAI CEO Sam Altman announced on social media that the company is re-entering the robotics field, releasing job openings for the OpenAI Robotics team. The company is hiring full-stack hardware, operations, systems, and machine learning engineers. This move marks a return to physical-world embodied intelligence after shutting down its earlier robotics business, aiming to extend its leading large model capabilities from the digital world into real physical environments.

Altman emphasized that the true value of artificial intelligence lies in providing substantial real-world assistance. In terms of development strategy, OpenAI follows a phased approach: in the short term, the company focuses on developing specialized robots that can assist technical workers in building future infrastructure; in the long term, OpenAI aims to create versatile personal robots that can meet diverse customization needs.
Currently, OpenAI is assembling a highly integrated hardware and algorithm R&D team to tackle challenges related to robot perception and manipulation in real physical environments.
As a trendsetter in the AI industry, OpenAI's renewed focus on robotics not only confirms the industry trend of deep integration between multimodal large models and embodied AI, but also will reshape the market landscape dominated by traditional robot hardware manufacturers. With breakthroughs in logical reasoning and natural language interaction enabled by large models, the involvement of software ecosystems will greatly accelerate the transition of intelligent robots from industrial manufacturing to long-tail physical application scenarios, driving efficiency transformation in global infrastructure construction and the personal labor market.
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On June 1st, OpenAI CEO Sam Altman announced on social media that the company is re-entering the robotics field, releasing job openings for the OpenAI Robotics team. The company is hiring full-stack hardware, operations, systems, and machine learning engineers. This move marks a return to physical-world embodied intelligence after shutting down its earlier robotics business, aiming to extend its leading large model capabilities from the digital world into real physical environments.

Altman emphasized that the true value of artificial intelligence lies in providing substantial real-world assistance. In terms of development strategy, OpenAI follows a phased approach: in the short term, the company focuses on developing specialized robots that can assist technical workers in building future infrastructure; in the long term, OpenAI aims to create versatile personal robots that can meet diverse customization needs.
Currently, OpenAI is assembling a highly integrated hardware and algorithm R&D team to tackle challenges related to robot perception and manipulation in real physical environments.
As a trendsetter in the AI industry, OpenAI's renewed focus on robotics not only confirms the industry trend of deep integration between multimodal large models and embodied AI, but also will reshape the market landscape dominated by traditional robot hardware manufacturers. With breakthroughs in logical reasoning and natural language interaction enabled by large models, the involvement of software ecosystems will greatly accelerate the transition of intelligent robots from industrial manufacturing to long-tail physical application scenarios, driving efficiency transformation in global infrastructure construction and the personal labor market.
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