Software Engineer, Scale Out

Tenstorrent•Toronto, ON

1d•Hybrid

About The Position

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 contributors of all seniorities. Tenstorrent is seeking a skilled Software Engineer with a passion for building high-performance, low-level systems software. In this role, you’ll contribute to the development and optimization of the infrastructure that powers our cutting-edge processors, with a primary focus on C/C++ development and low-level programming. You'll work closely with large inference and training model development to further drive Scale Out software and hardware performance. This role is hybrid, based out of Toronto, ON.

Requirements

Strong C or C++ systems engineer with a deep understanding of memory, threading, I/O, and low-level execution models.
Experienced building low-level software, drivers, embedded systems, or performance-critical infrastructure.
Comfortable working close to hardware and curious about how systems behave under the hood.
Proficient with Linux systems programming and debugging tools such as gdb, strace, and perf.
Structured problem solver who thrives in fast-paced, highly technical environments.

Responsibilities

Design, develop, and maintain core infrastructure software that interfaces directly with Tenstorrent hardware.
Build low-level libraries and APIs for communication and synchronization across compute nodes.
Optimize system-level software for performance, scalability, and reliability in distributed environments.
Support hardware bring-up, system testing, and deployment in close collaboration with hardware and software teams.
Integrate infrastructure components with internal programming models, tools, and runtime systems.