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. As a Principal Software Engineer on the ML Frameworks team at Tenstorrent, you will define and drive the architecture that enables machine learning models to run at breakthrough performance on our custom silicon. You will work across the entire software stack, from compilers to runtime to frameworks like PyTorch, while shaping the abstractions and strategies that unlock the full potential of our hardware. This is a role for someone who thrives on solving difficult performance problems and influencing the direction of AI frameworks at scale. This role is hybrid, based out of Toronto, ON; Austin, TX; Santa Clara, CA, with the opportunity to be remote on a candidate by candidate basis. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Job Type
Full-time
Career Level
Principal
Number of Employees
501-1,000 employees