Senior Researcher – GPU, AI & Hardware Architecture
Edmonton, ABHuawei 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
Senior Researcher - Edge AI Optimization/Hardware-Aware ML
Edmonton, ABHuawei Technologies Canada Co., Ltd.
2+ YOECandidates need a PhD or equivalent research experience in machine learning or a related field, plus 2+ years of applied impact in model compression, efficient architectures, or edge optimization. Strong Python and C/C++ skills, deep learning frameworks, and a publication or patent record in ML efficiency are required.
PyTorch, TensorFlow, JAX, ONNX, TFLite, TensorRT
Senior Principal Researcher - AI Data Platform
Markham, ONHuawei Technologies Canada Co., Ltd.
3+ YOECandidates need a PhD in computer science or a related field and at least 3 years of research experience in data systems or AI infrastructure. A strong publication record at top venues and excellent communication skills are also required.
Milvus, Pinecone, Databricks, Snowflake
Researcher - AI Agents & Knowledge Graphs
Ottawa, ONHuawei Technologies Canada Co., Ltd.
Candidates need a Master's degree in computer science, AI or a related field, or a Bachelor's with strong relevant project work. They should have solid Python coding skills and hands-on experience with LLMs and knowledge graphs or ontologies.
Python, C/C++, Neo4j, SPARQL, Cypher
Senior Technical VP - AI & Efficient Deep Learning
Markham, ONHuawei Technologies Canada Co., Ltd.
5+ YOECandidates need a degree in computer science, mathematics, statistics or engineering and deep knowledge of AI theory and large models. They also need 5+ years of AI experience, experience leading large-scale training or inference systems, and strong knowledge of AI chip architecture and distributed computing.
Megatron, vLLM, SGLang
Principal Architect – Hardware Efficient AI Foundation Model Training
Markham, ONHuawei Technologies Canada Co., Ltd.
Candidates need experience training and deploying AI models of 10B+ parameters, knowledge of the latest AI architectures and frameworks such as PyTorch and vLLM, and understanding of AI chip architecture. A PhD is preferred, and publications in AI systems or chip design are an asset.
PyTorch, vLLM, SGLang, GPU, NPU, TPU
Senior Researcher – Hardware Efficient AI Foundation Model Training
Markham, ONHuawei Technologies Canada Co., Ltd.
Candidates need experience training and deploying AI models of 10B+ parameters, knowledge of modern AI architectures such as long-sequence, reinforcement learning, multimodal and agent models, and solid command of AI frameworks and distributed training. Familiarity with AI chip architectures (GPU, NPU, TPU) is an asset, and a PhD and publications in AI systems or chip design are assets.
PyTorch, vLLM, SGLang, GPU, NPU, TPU