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.