Software Engineer, TT-Fabric

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.

This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology.  Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2).   These requirements apply to persons located in the U.S. and all countries outside the U.S.  As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency.  If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

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.