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Staff, Reliability Engineer

Tenstorrent
1 day ago
Full-time
On-site
Toronto, 08

JobsCloseBy Editorial Insights

Tenstorrent is hiring a Staff Reliability Engineer in Toronto, hybrid onsite, to define the reliability strategy for next generation AI computing systems and lead root cause investigations. You’ll collaborate with hardware software and manufacturing teams to deliver uptime, durability and quality at scale. Ideal candidates bring 8+ years in reliability engineering, with HPC or AI hardware experience, and fluency in HALT, HASS, ALT, MTBF, Weibull and FMEA, plus hands on lab work. You’ll validate cooling systems, own manufacturing partner relationships, and mentor others. To apply, tailor your resume to show measurable reliability wins, cross functional leadership and clear communication of tradeoffs. Interviews may assess level and offers align accordingly.

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 as a Staff Reliability Engineer and help define the reliability strategy behind the next generation of AI computing systems. In this highly visible technical leadership role, you'll drive reliability from architecture through production, partnering across hardware, software, and manufacturing teams to build high-performance AI platforms that set the standard for uptime, durability, and quality. If you're passionate about solving complex engineering challenges and influencing products at scale, you'll have the opportunity to shape technology powering the future of AI.

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

  • You've spent 8+ years in reliability engineering, ideally in high-performance computing, AI hardware, or data center systems.
  • You're comfortable with the statistical side of the job, HALT, HASS, ALT, MTBF, Weibull analysis, and FMEA are all familiar territory.
  • You can work through a technical problem in a thermal lab and then explain the risks and trade-offs clearly to leadership.
  • You're good at bringing people together, mechanical, electrical, thermal, and software teams, especially when timelines are tight.

What We Need

  • Someone to set the reliability strategy for our next-generation AI computing systems, across both data center and workstation products.
  • A strong problem-solver who can lead root-cause investigations on failures and follow through with fixes across engineering and the supply chain.
  • Someone with real experience validating advanced cooling systems, vapor chambers, heat pipes, direct-to-chip liquid cooling.
  • A steady point of contact for our manufacturing partners and suppliers, making sure reliability standards hold up through the NPI process.
  • Someone who can mentor other engineers and lead design reviews that raise the bar for the team.

What You Will Learn

  • How to shape the reliability strategy for some of the industry's most advanced AI computing platforms built around Tenstorrent's cutting-edge silicon.
  • How reliability engineering influences every stage of product development, from architecture and validation through manufacturing and field deployment.
  • How to collaborate with world-class experts across silicon, thermal, mechanical, electrical, and software engineering to solve large-scale system challenges.
  • How to validate emerging cooling technologies, including advanced air cooling and direct-to-chip liquid cooling, for next-generation AI infrastructure.
  • How to influence the future of AI hardware by helping build highly reliable systems that power tomorrow's largest AI workloads.

 

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.