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Sr. IP Product Engineer, AI Processor

Tenstorrent at a glance

tenstorrent.com

Tenstorrent

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 seeking an AI Processor IP Product Engineer to be the technical bridge between our cutting-edge AI processor technology and customer success. You’ll guide customers through the integration of our advanced AI processors, RISC-V CPUs, and chiplet solutions into their SoCs, ensuring optimal performance and accelerated time-to-market. If you thrive in customer-facing roles and want to shape the deployment of revolutionary AI hardware across the industry, join our team.

This role is hybrid, based out of Toronto, Canada or Vancouver, 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

  • A customer-focused engineer with deep technical expertise in ASIC design and IP integration.
  • Experienced problem-solver who excels at debugging complex system-level issues and silicon bring-up.
  • Strong communicator who builds trusted relationships while managing technical engagements across the support lifecycle.
  • Passionate about enabling customer success and translating complex technical concepts into actionable guidance.

What We Need

  • 3-5 years in the semiconductor industry with a degree in EE or related field.
  • Hands-on expertise with ASIC design flows, IP integration, and relevant design views (.lib, LEF, ICL, PDL).
  • Strong background in analog/digital design tools, silicon validation, and system-level debug.
  • Proven track record in customer-facing engineering roles with excellent communication skills.

What You Will Learn

  • How to integrate state-of-the-art AI processors and chiplet architectures into diverse customer SoCs.
  • Advanced debugging techniques spanning pre-silicon simulation to post-silicon validation.
  • Strategies for influencing product roadmaps through direct customer feedback and technical insights.
  • The full spectrum of IP productization—from technical documentation to customer training and support processes.

Compensation for all engineers at Tenstorrent ranges from $100k – $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

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.

To apply for this job please visit job-boards.greenhouse.io.

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