Tenstorrent is a next-generation computing company that builds computers for AI. Headquartered in the U.S. with offices in Austin, Texas, and Silicon Valley, and global offices in Toronto, Belgrade, Seoul, Tokyo, and Bangalore, Tenstorrent brings together experts in the field of computer architecture, ASIC design, RISC-V technology, advanced systems, and neural network compilers. Tenstorrent is backed by Eclipse Ventures and Real Ventures, Archerman Capital, Samsung Catalyst Fund, and Hyundai Motor Group among others. Join us: www.tenstorrent.com/careers.
Hybrid · Toronto
Design and evolve high-performance host and device APIs for the Metal Runtime to expose low-level hardware capabilities. Collaborate with kernel, compiler, and software teams to implement, debug, and optimize scalable AI infrastructure interfaces.
Hybrid · Toronto
Architect and implement the TT-Fabric low-level networking library to power distributed AI inference and training. Optimize protocols and synchronization strategies to maximize hardware performance across thousands of AI processors.
Hybrid · Toronto
Develop and optimize distributed software systems to power high-performance AI and HPC clusters. Design distributed APIs and leverage MPI-based technologies to scale AI workloads across multiple compute nodes.
Hybrid · Toronto
Design and maintain core infrastructure software and low-level libraries that interface directly with Tenstorrent hardware. Optimize system-level software for performance and scalability in distributed AI environments.
Hybrid · Toronto
Define and implement scalable debug and trace architectures across CPU and AI product lines. Support silicon bring-up and collaborate with cross-functional teams to enable efficient performance analysis and debugging.
Hybrid · Toronto
You will work on the MLIR-based TT-Forge compiler to enable AI model execution across Tenstorrent hardware configurations. Responsibilities include optimizing computational graphs, creating custom compiler dialects, and developing transformation passes.
Hybrid · Toronto
The engineer will build and optimize the Metal runtime that operates directly on AI accelerators, developing bare-metal software to manage compute units, data flow, and asynchronous operations. This involves close collaboration with hardware teams to maximize architectural performance and debugging performance across massively parallel systems.
Hybrid · Toronto
Develop and optimize low-level acceleration kernels to power high-efficiency machine learning workloads. Collaborate with ML engineers to integrate performance optimizations into production pipelines and maintain a reliable software stack.
Hybrid · Toronto
Design, deploy, and manage global data center network infrastructure to support AI accelerator clusters and production environments. Collaborate with hardware, platform, and DevOps teams to ensure reliable, high-performance network operations and scalability.
Hybrid · Toronto
Design, deploy, and operate the global data center network infrastructure powering AI accelerator clusters. Collaborate with cross-functional teams to ensure the reliability, scalability, and performance of high-speed network fabrics.
Hybrid
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for…