Musk Makes Rare Direct Appeal to South Korea's Chip Talent as Tesla Expands AI Silicon Push

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Elon Musk personally recruited South Korean semiconductor professionals on X, urging them to join Tesla's in-house AI chip design efforts. The unusual direct appeal comes as Tesla ramps up custom silicon development for autonomous driving and robotics, including plans for a massive Terafab facility and 2nm chip production.

Tesla Launches Targeted Recruitment Drive in South Korea

Tesla is intensifying its push into in-house AI chip design with a direct recruitment campaign aimed at South Korea's semiconductor talent pool. Elon Musk made a rare personal appeal on his X account, reposting a Tesla Korea hiring announcement for AI chip design engineers and adding 16 South Korean flag emojis

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. In a separate post, Musk wrote, "If you're in Korea and want to work on chip design, fabrication or AI software, join Tesla!"

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Source: Korea Times

Source: Korea Times

While Musk has previously shared Tesla-related hiring posts, industry observers note it is highly unusual for him to explicitly single out semiconductor professionals in a specific country

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. The move signals Tesla's urgent need to expand its AI hardware capabilities as it scales autonomous driving and robotics technologies.

Developing Mass-Produced AI Chips for Autonomous Driving

Tesla Korea's job posting emphasizes developing "world-class mass-produced AI chips" with plans to achieve a globally leading production record

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. The position involves creating AI chip architecture for what Tesla hopes will become the highest-level mass-produced AI chips with the largest production volume globally

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Applicants must submit descriptions of the three most challenging technical problems they have solved, according to the notice

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. This requirement suggests Tesla is seeking experienced semiconductor professionals in Korea who can tackle complex AI chip development challenges immediately.

The recruitment initiative underscores Tesla's commitment to advancing custom silicon, particularly for Full Self-Driving software and the Optimus humanoid robot project

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. As Tesla expands these AI-driven technologies, the demand for a stable supply of semiconductors and an independent supply chain has become critical

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Strategic Push Toward In-House Manufacturing and Terafab Plans

Tesla's chip strategy extends beyond design to include plans for increased in-house manufacturing in the U.S. During the company's earnings call on January 28, Musk declared, "We are going to have to build a Tesla TeraFab. A very big fab that includes logic, memory and packaging, domestically"

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. This Terafab facility would represent a major step toward vertical integration in semiconductor technology.

Tesla signed a $16.5 billion deal with Samsung Electronics to manufacture its AI6 chips in 2025

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. Musk stated he would stay near Samsung's fabrication facility in Taylor, Texas, to monitor the manufacturing process, demonstrating Tesla's deep interest in semiconductors

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. This hands-on approach signals Tesla's intention to gain intimate knowledge of chip fabrication processes.

Additionally, Tesla's push toward developing its own 2nm chip further reflects its aim to take control of both the design and production of its critical semiconductor technology

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. The 2nm chip development would position Tesla at the cutting edge of semiconductor design.

Why South Korea Matters for Tesla's AI Ambitions

The targeted recruitment drive in South Korea is strategic. Korea commands over 70 percent of the global memory chip market

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. Samsung Electronics operates as a fully integrated semiconductor maker, including foundry services and the System LSI division, which handles chip design and development

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Companies such as Samsung Electronics and Taiwan's TSMC are currently providing in-house AI chips to Tesla

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. However, to develop its AI sector more aggressively, Tesla needs more semiconductors and greater control over its supply chain. By recruit AI chip design engineers from South Korea, Tesla gains access to professionals trained in one of the world's most advanced semiconductor ecosystems.

Industry observers view the move as part of Tesla's broader effort to expand its semiconductor talent pool to bolster its AI hardware capabilities in technologies such as autonomous driving and humanoid robots

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. The recruitment drive suggests Tesla is preparing for significant expansion in AI chip development over the coming years, potentially reducing reliance on external suppliers while accelerating innovation in autonomous driving and robotics technologies.

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