Staff, Reliability Engineer

Tenstorrent•Toronto, ON

2d•Hybrid

About The Position

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.

Requirements

8+ years in reliability engineering, ideally in high-performance computing, AI hardware, or data center systems.
Comfortable with statistical analysis, including HALT, HASS, ALT, MTBF, Weibull analysis, and FMEA.
Ability to work through technical problems in a thermal lab and clearly explain risks and trade-offs to leadership.
Skilled at bringing together mechanical, electrical, thermal, and software teams, especially under tight timelines.

Responsibilities

Set the reliability strategy for next-generation AI computing systems, across both data center and workstation products.
Lead root-cause investigations on failures and follow through with fixes across engineering and the supply chain.
Validate advanced cooling systems, vapor chambers, heat pipes, direct-to-chip liquid cooling.
Serve as a steady point of contact for manufacturing partners and suppliers, ensuring reliability standards hold up through the NPI process.
Mentor other engineers and lead design reviews that raise the bar for the team.