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Full Time Manager Linux Kernel Engineer Ubuntu Jobs in Toronto, ON

Tenstorrent

Senior Embedded Engineer, AI IP

Toronto, ON · On-site

We are seeking a Software Driver Developer to create reference drivers for our AI-IP in a reference ... Hands-on experience developing Linux kernel drivers, including kernel architecture, debugging, and ...

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Full Time Manager Linux Kernel Engineer Ubuntu information

What is the difference between Full Time Manager Linux Kernel Engineer Ubuntu vs Linux Kernel Engineer?

AspectFull Time Manager Linux Kernel Engineer UbuntuLinux Kernel Engineer
CredentialsTypically requires Linux kernel certifications, Linux system administration, and experience with UbuntuRequires Linux kernel development experience, C programming, and Linux certifications
Work EnvironmentTeam leadership, project management, collaboration with cross-functional teams, often in enterprise or tech companiesHands-on kernel development, debugging, and optimization, often in R&D or open-source projects
Industry UsageUsed in organizations managing large-scale Linux deployments, enterprise servers, and cloud infrastructureCommon in open-source communities, hardware companies, and Linux distributions

The Full Time Manager Linux Kernel Engineer Ubuntu role combines technical Linux kernel expertise with team leadership and project management, focusing on Ubuntu-based environments. In contrast, a Linux Kernel Engineer primarily concentrates on kernel development and debugging without managerial responsibilities. Both roles require strong Linux kernel knowledge, but the manager position emphasizes coordination and strategic planning within Ubuntu-centric projects.

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For Full Time Manager Linux Kernel Engineer Ubuntu jobs in Toronto, ON, the most frequently searched job titles are:

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Full Time Manager Linux Kernel Engineer Ubuntu jobs near you
Infographic showing various Full Time Manager Linux Kernel Engineer Ubuntu job openings in Toronto, ON as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.

Senior Embedded Engineer, AI IP

Tenstorrent

Toronto, ON • On-site

Full-time

Re-posted 23 days ago

Job description

We are seeking a Software Driver Developer to create reference drivers for our AI-IP in a reference system.  You will also support our AI-IP customer optimizing our reference driver into our customer specific systems.  

This role is hybrid, based out of Toronto, ON.

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

  • Deep systems engineer with 7+ years of experience in device drivers or low-level systems programming.
  • Strong proficiency in C and C++ with a solid understanding of hardware-software interfaces.
  • Hands-on experience developing Linux kernel drivers, including kernel architecture, debugging, and kernel-space/user-space interactions.
  • Experience developing drivers for high-speed I/O or interconnect technologies such as PCIe; PCIe driver development is strongly preferred.
  • Familiar with user-mode and kernel-mode driver models and understands that Linux kernel driver development differs meaningfully from bare-metal or RTOS-based driver development.

What We Need

  • Design and evolve the driver layer that provides high-performance APIs for Tenstorrent devices.
  • Develop and maintain user-mode and kernel-mode drivers for Tenstorrent hardware, including Linux kernel drivers for system integration.
  • Define driver interfaces and specifications that enable the broader software stack to run across internal and third-party hardware.
  • Collaborate with kernel and hardware teams to ensure efficient cross-layer design, performance, and PCIe-based device integration.
  • Support external integrations by driving performance engineering, benchmarking, profiling, and optimization of APIs and driver paths in customer environments, including safety-critical use cases where applicable.

What You Will Learn

  • How user-mode and Linux kernel drivers are designed for high-performance AI hardware.
  • How PCIe and other system interconnects are used to integrate accelerator hardware into production platforms.
  • How hardware-software interfaces are defined to support scalable and portable systems.
  • How performance is optimized across memory, compute, and communication layers.
  • How safety and reliability requirements influence modern driver architecture, including in automotive and mission-critical systems.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Apply