Tenstorrent

ML Engineer focused on bringing up, validating, and optimizing AI models (LLMs, CNNs, recommendation, vision) on Tenstorrent's hardware and simulators. This role involves porting models into Tenstorrent toolchains, running experiments for accuracy/performance/stability, and debugging cross-stack issues with hardware, compiler, and runtime teams.