Staff Reliability Engineer (AI Hardware)

Location: Hybrid, based in Toronto, Canada; travel to third-party test facilities and manufacturing partners, including sites in Taiwan, is required.

Company

Develops high-performance AI computing platforms combining software, compilers, networking, CPUs, and semiconductor technologies.

What you will do

• Define the reliability strategy for next-generation AI computing systems.
• Develop MTBF models, predictive reliability frameworks, and accelerated life testing plans.
• Lead root-cause investigations and drive corrective actions across engineering and the supply chain.
• Partner with hardware, software, mechanical, electrical, thermal, Systems Engineering, and Compliance Validation teams.
• Plan and oversee HALT/HASS testing at third-party facilities, resolve device-under-test issues, and assess design risks.
• Feed test findings into system design improvements and support validation and certification readiness.

Requirements

• 8+ years of experience in reliability engineering, preferably in high-performance computing, AI hardware, or data center systems.
• Experience with statistical reliability methods, HALT, HASS, ALT, MTBF, Weibull analysis, and FMEA.
• Ability to investigate technical problems in thermal lab environments and communicate risks and trade-offs to leadership.
• Bachelor’s or Master’s degree in Mechanical Engineering, Electrical Engineering, Reliability Engineering, or a related field.
• Ability to work in a hybrid role based in Toronto, Canada, with travel to testing and manufacturing sites.

Culture & Benefits

• Work on high-performance AI computing systems and a RISC-V CPU platform.
• Collaborative environment spanning hardware, software, manufacturing, and systems engineering.
• Highly competitive compensation package and benefits.
• Equal opportunity employment.
• Employment is contingent upon eligibility to access U.S. export-controlled technology.