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Staff Engineer, Systems

Toronto, Ontario, Canada

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.

Join Tenstorrent and help shape the next generation of AI data center and workstation platforms! As a Staff Systems Engineer, you’ll turn ambitious product visions into high-performance, fully integrated systems. You’ll work across hardware, software, and product teams to deliver AI computing solutions that push the boundaries of speed, efficiency, and reliability.

This role is on-site, based out of Santa Clara, California, Toronto, Canada, or Austin, Texas.

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 seasoned systems engineer with 8+ years in HPC, AI, or high-performance workstation platforms.
  • Expert in system architecture, including CPUs, GPUs, memory hierarchies, storage, and interconnects.
  • Skilled at validating, debugging, and optimizing performance across complex systems.
  • A clear communicator who can unite cross-functional teams and present solutions with impact.
  • A creative problem-solver who thrives on tackling challenging, fast-paced engineering problems.

 

What We Need

  • Define and drive system-level requirements: memory, storage, BMC, power, CPU, motherboards, and cabling.
  • Develop hardware specs, chassis designs, and performance targets for cutting-edge AI platforms.
  • Partner with software, hardware, and product teams to deliver seamless system integration.
  • Evaluate and select critical components while ensuring compliance with industry standards.
  • Lead validation, troubleshooting, and performance tuning to overcome design challenges.

 

What You Will Learn

  • End-to-end experience building AI data center and workstation systems that power real-world workloads.
  • How to integrate hardware, firmware, and software for maximum system performance.
  • Advanced interconnects (PCIe, CXL, Ethernet, InfiniBand) and system security practices.
  • Power, cooling, and reliability strategies for high-performance computing.
  • Work in a culture that rewards curiosity, innovation, and bold problem-solving.

 

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.

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