Drive the transition of custom ASIC and AI hardware from development to manufacturing, ensuring effective collaboration across engineering, supply chain, and manufacturing to meet quality and schedule targets.

Lead the charge in architecting and optimizing a low-level networking library for scalable AI systems, enhancing performance and efficiency across thousands of processors in distributed environments.

Launch innovative low-level networking solutions for AI compute clusters, optimizing performance and efficiency. Collaborate with hardware and software teams to redefine distributed systems architecture and shape the future of AI.

The TT-Fabric Software Engineer at Tenstorrent will focus on building and defining networking software for high-performance AI and HPC clusters. This role involves low-level programming, networking protocols, and optimizing hardware-software interactions to enhance AI model performance.

Lead the development and optimization of distributed software systems for high-performance AI and HPC clusters, focusing on scalable architectures and advanced programming techniques across multiple nodes.