Tenstorrent
This role involves working across multiple teams within Kernels, Models, Inference, Scaleout, and Runtime to ensure AI models run efficiently on Tenstorrent hardware at scale. The position focuses on building infrastructure that supports engineering velocity and optimizing machine learning models for specialized hardware. Candidates will gain experience in high-performance computing, model adaptation, and production ML serving infrastructure.
Tenstorrent is a next‑generation computing company that builds computers optimized for AI workloads. They design AI silicon and systems—leveraging RISC‑V, custom ASICs, and advanced architecture—alongside neural‑network compilers and software to accelerate training and inference. Headquartered in the U.S. with offices in Austin and Silicon Valley and global teams in Toronto, Belgrade, Seoul, Tokyo, and Bangalore, Tenstorrent brings together expertise in computer architecture, ASIC design, and compiler technology. Their hardware‑plus‑software approach targets developers, researchers, and enterprises needing scalable, efficient AI compute.
Tenstorrent Unveils TT-QuietBox(TM) 2, the First RISC-V AI Workstation With a Fully Open-Source Stack to Deliver Teraflop-Class Inference
19 hours ago
Tenstorrent TT-QuietBox 2 Launched: A RISC-V Powered AI Workstation With 128 GB GDDR6 Memory, Liquid-Cooling & $9999 Starting Price
1 day ago
Layoffs At Tenstorrent As Startup Pivots Towards Developer Sales
Dec 9, 2025
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Tenstorrent.
Tenstorrent didn’t post a salary, so this is our estimate from similar listings.
Tenstorrent Unveils TT-QuietBox(TM) 2, the First RISC-V AI Workstation With a Fully Open-Source Stack to Deliver Teraflop-Class Inference
1 day ago
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