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Tesla Korea is actively recruiting for AI Chip Design Engineers as part of an ambitious initiative to develop what the company describes as the world’s highest-volume AI chips. The effort, amplified by CEO Elon Musk, aims to create advanced AI chip architectures for mass production.

Expansion into Advanced Chip Development

In a post on X, Tesla Korea announced its search for “talented individuals to join in developing the world’s highest-level mass-produced AI chips.” The company further elaborated that the project’s goal is to “develop AI chip architecture that will achieve the highest production volume in the world in the future.”

Interested candidates are instructed to email Ai_Chips@Tesla.com and to include “the three most challenging technical problems you have solved” in their application.

Musk Endorses Korean Recruitment Drive

Elon Musk echoed the sentiment in a separate post, urging potential applicants by stating, “If you’re in Korea and want to work on chip design, fabrication or AI software, join Tesla!”

This recruitment effort in South Korea is part of Tesla’s broader strategy to accelerate its in-house development of AI chips. These custom chips are critical for powering the company’s Full Self-Driving (FSD) system, the Optimus humanoid robot, and its data center training infrastructure.

Global Expansion of Silicon Development

Tesla has been systematically expanding its global silicon development teams. Recent reports highlighted the posting of roles in Austin and Palo Alto for silicon module process engineers specializing in various chip fabrication disciplines, including lithography and etching.

The company’s long-term objective is to achieve large-scale design and production of its own AI chips. Musk has previously articulated his vision that Tesla’s proprietary AI chips could eventually become the world’s highest-volume AI processors.

Investment in AI Initiatives

This recruitment drive also coincides with Tesla’s increased investment in artificial intelligence. The company recently committed approximately $2 billion to xAI, reinforcing its commitment to advancing AI capabilities across its vehicle, robotics, and compute infrastructure divisions.

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