Research Engineer - AI Workload & Systems
Markham, ONSur placeContrat
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
Senior Researcher – GPU, AI & Hardware Architecture
Edmonton, ABSur placeTemps plein
Huawei Technologies Canada Co., Ltd.
Candidates need a PhD in a computer-related field, ideally in AI/ML or computer architecture, plus industry experience. They should know AI frameworks such as PyTorch, TensorFlow or JAX, be proficient in C/C++, and have hands-on experience with a GPU ecosystem such as CUDA, Vulkan, OpenGL, OpenCL or WebGPU.
PyTorch, TensorFlow, JAX, CUDA, Vulkan, OpenGL