Develop and maintain the low-level networking layer for AI compute clusters.
•Tenstorrent is building the world’s fastest, most efficient AI compute clusters.
•TT-Fabric is the high-performance nervous system of this platform: the low-level networking layer that lets thousands of RISC-V and AI processors snap together into a single, massively parallel distributed supercomputer.
•Key Responsibilities Architect, implement, and maintain TT-Fabric, our low-level networking library powering distributed inference and training.
•Design scalable communication systems capable of coordinating thousands of AI processors efficiently and reliably.
•Optimize protocols, synchronization strategies, and data movement to extract maximum hardware performance.
•Integrate TT-Fabric APIs into the broader programming model in collaboration with AI and hardware teams.
•Help define the long-term architecture of Tenstorrent’s distributed systems stack.
•Requirements Strong systems engineer with deep C or C++ experience and comfort working in low-level or bare-metal environments.
•Passionate about hardware-software interaction, performance tuning, and eliminating inefficiencies at the protocol level.
•Curious about networking, synchronization, and communication across large clusters.
•Comfortable reasoning from first principles and challenging industry conventions.
•Motivated by building infrastructure that directly impacts large-scale AI training and inference performance.