Tesla Taps Intel 18A Veteran to Lead Terafab Chip Project in Texas

Tesla has hired Gary Jiang, a nearly 18-year Intel manufacturing veteran, as Director of its Terafab chip project on the North Campus of Giga Texas in Austin. Jiang most recently ran Intel's 18A process technology transfer and fab ramp, filling a gap in Tesla's in-house semiconductor manufacturing expertise as it pursues a vertically integrated chip fab targeting Intel's 14A node.

TSLA has named its first publicly identified leader for Terafab, the semiconductor fabrication project Elon Musk unveiled in March 2026 alongside SpaceX and xAI. Gary Jiang, who spent nearly 18 years at INTC, joined Tesla in June 2026 as Director, Terafab, based on the North Campus of Giga Texas in Austin. Most recently he served as Intel's Factory Manager starting December 2024, overseeing the 18A process node's technology transfer, tool installation, and ramp toward product certification and high-volume manufacturing at Intel's Ocotillo campus in Chandler, Arizona .

The hire underscores why Tesla wants chip manufacturing in-house in the first place. As Full Self-Driving compute, the Dojo training stack, and the Optimus robot program scale, Tesla has leaned heavily on external foundries and Nvidia GPUs, exposing it to allocation constraints and pricing it does not control. Terafab is Tesla's attempt to reduce that dependency by consolidating chip design, lithography, fabrication, memory, advanced packaging, and testing under one roof, with an initial target of Intel's 14A process node. Musk has framed the ambition at up to one terawatt of annual compute output, scaling toward 1 million wafer starts per month, though a May 2026 SpaceX filing put total investment across all phases as high as $119 billion versus the initial $20-25 billion prototype estimate.

Jiang's specific background matters because 18A is one of the most advanced process nodes Intel has brought toward volume production, and Tesla has little institutional experience in fab construction, yield ramp, or process qualification. His stated competencies, including technology transfer, fab startup, and yield improvement, map directly onto the early-stage problems a from-scratch fab like Terafab needs solved before it can produce usable silicon . Terafab is distinct from, though complementary to, Tesla's existing Samsung and TSMC chip relationships: Samsung's separate Taylor, Texas fab is ramping 2-nanometer production of Tesla's AI5 and AI6 self-driving chips under a $16.5 billion order, with AI5 output split between Samsung Taylor and TSMC Arizona and volume production targeted for 2027 . Terafab, by contrast, is Tesla's own vertically integrated fab rather than a foundry customer relationship.

TSLA shares closed roughly 2% higher the day the hire was reported, extending a three-session winning streak, though Stocktwits retail sentiment stayed in neutral territory and message volume was described as normal, suggesting the market treated this as an incremental execution signal rather than a re-rating catalyst . Analyst reaction was mixed: some read the hire as evidence Tesla is staffing Terafab with real semiconductor talent rather than aspiration, while others cautioned that a single leadership hire cannot substitute for the decades of institutional fab experience required to hit yield and output targets . TSLA carries a consensus Hold rating from 43 analysts with an average price target near $400.58 .

What to watch from here: further leadership and engineering hires at Terafab, any updated capex guidance from Tesla tying Terafab spend to 2026-2027 budgets, and whether Intel's 14A node stays on schedule, since Terafab's timeline is now directly coupled to Intel's own process roadmap. Progress (or delay) at Samsung's Taylor fab for AI5/AI6 chips remains a useful proxy for how urgently Tesla needs Terafab's in-house capacity to come online.