Senior Embedded Engineer, AI IP

<div class="content-intro"><p>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.</p></div><p>We are seeking s 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.  </p> <p>This role is<strong> </strong>hybrid, based out of Toronto, ON.</p> <p>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.</p> <p> </p> <p><strong>Who You Are</strong></p> <ul> <li>Deep systems engineer with 7+ years experience in drivers or low-level systems programming.</li> <li>Strong proficiency in C and C++ with solid understanding of hardware-software interfaces.</li> <li>Familiar with Linux kernel concepts and how kernel and user-space components interact.</li> <li>Experience working with external customers or partners to define and support driver or hardware interfaces.</li> <li>Exposure to safety-critical systems, automotive platforms, or Functional Safety standards such as ISO 26262 is a strong plus.</li> </ul> <p> </p> <p><strong>What We Need</strong></p> <ul> <li>Design and evolve the driver layer that provides high-performance APIs for Tenstorrent devices.</li> <li>Define driver interfaces and specifications that enable the broader software stack to run across internal and third-party hardware.</li> <li>Collaborate with kernel and hardware teams to ensure efficient cross-layer design and performance.</li> <li>Drive performance engineering efforts, including benchmarking, profiling, and optimization of APIs.</li> <li>Support external integrations by defining hardware-software boundaries and enabling reliable deployment in customer environments, including safety-critical use cases where applicable.</li> </ul> <p> </p> <p><strong>What You Will Learn</strong></p> <ul> <li>How user