April 6, 2026 – In a significant development for the global AI and semiconductor industry, Anant Nivarti (also known as Anantha Kumar N.), a highly respected Indian-origin engineer, is returning to Tesla as Silicon Engineering Lead at Tesla AI.
Nivarti previously served as Director of Dojo AI/ML Hardware at Tesla from 2017 to December 2025. During his tenure, he played a key role in designing Tesla’s custom AI training chips, including the groundbreaking Dojo supercomputer architecture. He is also a co-author of the widely referenced IEEE Micro paper on Dojo’s innovative microarchitecture.
From Tesla to Startup and Back
Nivarti had left Tesla in December 2025 to join an early-stage AI silicon startup. His decision to return just a few months later has been welcomed as a strong vote of confidence in Tesla’s long-term in-house AI hardware strategy under Elon Musk.
In a post on X, Nivarti shared his excitement:
“Thrilled to be rejoining @Tesla_AI as silicon engineering lead next week! Back to building the chips that push the boundaries of AI and autonomy.”
What He Will Lead at Tesla
According to industry reports, Nivarti will spearhead the development of:
- AI6 — Tesla’s next-generation AI inference and training chip, expected to power Optimus humanoid robots, Full Self-Driving (FSD) systems, and data center operations. Tesla has partnered with Samsung for AI6 production, with tape-out targeted around December 2026.
- Dojo 3 — The third-generation Dojo supercomputer chip, which is expected to deliver massive improvements in AI training efficiency.
This return strengthens Tesla’s efforts to reduce dependence on external GPU suppliers like NVIDIA and build highly optimized, cost-effective AI silicon tailored for its unique workloads in autonomy and robotics.
Why This Matters to the Indian Diaspora
Anant Nivarti’s journey is an inspiring story for the global Indian tech community. Many NRIs in Silicon Valley, Bangalore, Hyderabad, and across the world see his return as validation of Indian talent in cutting-edge semiconductor and AI hardware design.
His expertise (built across stints at Apple, AMD, and Analog Devices before Tesla) highlights how Indian engineers continue to play a critical role in shaping the future of AI and autonomous technology.
For NRIs working in tech, this news also signals strong demand and growth opportunities in custom AI chip development — a field that is rapidly expanding.
NRIGlobe.com will continue to track developments at Tesla, Dojo, AI6, and stories of Indian-origin leaders making an impact in global technology.
Last updated: April 6, 2026
