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Active2mo ago

Staff Engineer, Diagnostic Development

Tenstorrent·📍 Toronto, Ontario, Canada

Employment

FULL TIME

Work mode

On-site

Experience

SENIOR LEVEL

Salary

Not disclosed

Salary not disclosed

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Role overview

Job description

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. At Tenstorrent, we're building cutting-edge AI compute solutions. Developing diagnostics programs to validate the functionality and stress the performance of our solutions is a critical part of delivering exceptional products. We are looking for Engineers to join our

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About this listing

  • Source: Tenstorrent's official careers site (via Greenhouse) · last confirmed on the source 1 Nov 2026
  • Posted 26 Aug 2026

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What they are looking for

Skills & requirements

Qualification

As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S

Department · Systems Engineering: Si Val/Qual

Hiring company

Tenstorrent

Technology

Tenstorrent is a next-generation computing company that builds computers for AI. Headquartered in the U.S. with offices in Austin, Texas, and Silicon Valley, and global offices in Toronto, Belgrade, Seoul, Tokyo, and Bangalore, Tenstorrent brings together experts in the field of computer architecture, ASIC design, RISC-V technology, advanced systems, and neural network compilers.

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