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.
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.
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.
Tenstorrent Inc. Toronto, Ontario, CAN Office
Toronto, ON, Canada
