Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations and cost efficiency. The Software Engineer will architect and maintain TT-Fabric, a low-level networking library, and design scalable communication systems for AI processors.
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
Skills
- 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
Benefits
- Highly competitive compensation package and benefits
Company Overview
Tenstorrent develops AI hardware and software solutions for data processing and machine learning application. It was founded in 2016, and is headquartered in Toronto, Ontario, CAN, with a workforce of 501-1000 employees. Its website is http://tenstorrent.com.