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.

Tenstorrent is building next-generation CPU and AI silicon. You’ll work at the forefront of hardware innovation, diagnosing complex issues across chips, systems, firmware, and software while collaborating with some of the brightest engineers in the industry. This role offers the opportunity to solve challenging technical problems, build impactful debug solutions, and directly influence the reliability and performance of cutting-edge AI compute platforms.

This role is hybrid, based out of Toronto, Canada.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

Experienced in hardware debug and post-silicon bring-up for CPU, SoC, or ASIC systems.
Strong understanding of processor architecture and microarchitecture (RISC-V, x86, or ARM) with familiarity in debug and trace methodologies (e.g., iJTAG).
Hands-on engineer who excels at diagnosing complex hardware, firmware, and software issues through root-cause analysis.
Comfortable working in the lab with a passion for building debug tools, automation, and scalable methodologies.
Collaborative team player with experience partnering across ASIC, firmware, software, and validation teams.

What We Need

Lead post-silicon debug across Tenstorrent's AI accelerator platforms, diagnosing hardware and firmware issues on silicon, boards, and systems.
Debug complex issues spanning power, thermal, GDDR, PCIe, Ethernet/SerDes, NoC, and firmware (including metal and Ethernet).
Develop Python and C-based diagnostic tools, automation, and debug frameworks to accelerate failure analysis.
Utilize lab equipment such as oscilloscopes, logic analyzers, and protocol analyzers to investigate system-level failures.
Analyze schematics, register states, telemetry, and firmware behavior to identify root causes and drive resolution.

What You Will Learn

Gain hands-on experience bringing next-generation AI accelerator silicon from prototype through production.
Develop expertise across the full hardware stack, including silicon, boards, firmware, drivers, and system software.
Collaborate with world-class ASIC, firmware, and software engineers to solve complex AI hardware challenges.
Deepen your knowledge of high-speed interfaces, including GDDR/DDR, PCIe, Ethernet/SerDes, power management, and system validation.
Help build scalable debug infrastructure and methodologies that improve the reliability and performance of Tenstorrent's AI platforms.

This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. 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. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.