Research Engineer - AI Workload & Systems
Markham, ONOn-siteContract
Huawei Technologies Canada Co., Ltd.
Candidates need a strong understanding of modern AI architectures and AI accelerator hardware such as GPUs and TPUs. Hands-on kernel development experience with CUDA or Triton, plus LLM inference and profiling experience, is required; a PhD is an asset.
CUDA, Triton, TileLang, vLLM, SGLang, PyTorch