tenstorrent · Austin, Texas, United States; Santa Clara, California, United States; Toronto, Ontario, Canada
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. As our TT-Distributed Software Engineer, you will develop and optimize distributed software systems that power the most efficient and highest-performing AI and HPC clusters. In this role, you'll work on distributed programming across multiple nodes, utilizing systems programming, inter-node communication, and Tenstorrent’s scalable architectures to advance the state-of-the-art distributed inference and training infrastructure. This role is hybrid, based out of Santa Clara, CA; Austin, TX; or 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 A strong C++ or systems software engineer with a solid foundation in compiler design, programming languages, or performance-oriented systems programming. Interested in compiler optimizations, computation graphs, parallel execution, and mapping workloads onto heterogeneous or distributed hardware. Comfortable reasoning about data movement, communication overhead, synchronization, and performance tradeoffs across multiple compute devices and nodes. Experienced in or eager to work with distributed execution, parallel programming models, and large-scale AI workloads. A first-principles problem solver who e…
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