Systems Engineer, Data Center Debug

Location: Toronto, Ontario, Canada

Department: AI SW: DC Deployment

Tenstorrent is building next-generation CPU and AI silicon. You’ll work at the forefront of hardware innovation, diagnosing complex issues across chips, systems, firmware, and software while collaborating with some of the brightest engineers in the industry. This role offers the opportunity to solve challenging technical problems, build impactful debug solutions, and directly influence the reliability and performance of cutting-edge AI compute platforms.

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

• Experienced in hardware debug and post-silicon bring-up for CPU, SoC, or ASIC systems.
• Strong understanding of processor architecture and microarchitecture (RISC-V, x86, or ARM) with familiarity in debug and trace methodologies (e.g., iJTAG).
• Hands-on engineer who excels at diagnosing complex hardware, firmware, and software issues through root-cause analysis.
• Comfortable working in the lab with a passion for building debug tools, automation, and scalable methodologies.
• Collaborative team player with experience partnering across ASIC, firmware, software, and validation teams.

 

What We Need

• Lead post-silicon debug across Tenstorrents AI accelerator platforms, diagnosing hardware and firmware issues on silicon, boards, and systems.
• Debug complex issues spanning power, thermal, GDDR, PCIe, Ethernet/SerDes, NoC, and firmware (including metal and Ethernet).
• Develop Python and C-based diagnostic tools, automation, and debug frameworks to accelerate failure analysis.
• Utilize lab equipment such as oscilloscopes, logic analyzers, and protocol analyzers to investigate system-level failures.
• Analyze schematics, register states, telemetry, and firmware behavior to identify root causes and drive resolution.

 

What You Will Learn

• Gain hands-on experience bringing next-generation AI accelerator silicon from prototype through production.
• Develop expertise across the full hardware stack, including silicon, boards, firmware, drivers, and system software.
• Collaborate with world-class ASIC, firmware, and software engineers to solve complex AI hardware challenges.
• Deepen your knowledge of high-speed interfaces, including GDDR/DDR, PCIe, Ethernet/SerDes, power management, and system validation.
• Help build scalable debug infrastructure and methodologies that improve the reliability and performance of Tenstorrents AI platforms.