TT-Fabric Software Engineer

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-Fabric Software Engineer, you’ll be at the forefront of building and defining networking software for the most efficient and highest-performing clusters in AI and HPC. In this role, you’ll have the opportunity to pursue your passion for low-level programming, networking protocols, bare-metal engineering, and interconnecting thousands of RISC-V and AI processors. 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. Responsibilities Architect, develop, and maintain our low-level networking library (TT-Fabric) that serves as the software backbone of our distributed inference and training infrastructure. Design systems that handle network communications across thousands of AI processors, ensuring efficiency, scalability, and reliability in training and inference. Dive deep into performance tuning and protocol optimization, transforming raw hardware capabilities into world-class AI model performance. Work alongside AI researchers and hardware engineers to integrate TT-Fabric APIs into our programming model and push the boundaries of what’s possible in distributed systems. Experience & Qualifications Bachelor’s degree or higher in Computer Science, Electrical/Computer Engineering, or a related field Strong foundation in C/C++, systems programming, or low-level bare-metal programming Passion for the intricacies of low-level programming and optimizing hardware-software interactions at the bare-metal level, where every nanosecond counts Interest in networking protocols, synchronization and communication in large clusters of computers, and high-performance interconnects Willingness to think from first principles, consider out-of-the-box solutions, discover where industry norms and current state-of-the-art fall short, and drive to surpass them Experience with high-performance networking libraries, RDMA, or MPI is a plus but not required Experience with programming large-scale computer clusters is a plus but not required Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. Due to U.S. Export Control laws and regulations, Tenstorrent is required to ensure compliance with licensing regulations when transferring technology to nationals of certain countries that have been licensing conditions set by the U.S. government. Our engineering positions and certain engineering support positions require access to information, systems, or technologies that are subject to U.S. Export Control laws and regulations, please note that citizenship/permanent residency, asylee and refugee information and/or documentation will be required and considered as Tenstorrent moves through the employment process. If a U.S. export license is required, employment will not begin until a license with acceptable conditions is granted by the U.S. government. If a U.S. export license with acceptable conditions is not granted by the U.S. government, then the offer of employment will be rescinded. #J-18808-Ljbffr Tenstorrent