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
Intern Researcher – AI Foundation Model Training
Markham, ONHuawei Technologies Canada Co., Ltd.
Candidates need to be currently pursuing a PhD or Master's degree in computer science, electrical engineering or a related field. Familiarity with deep learning frameworks such as PyTorch and distributed training concepts is needed, with GPU or accelerator experience and research or open-source contributions as assets.
PyTorch, vLLM, SGLang, GPU, NPU, TPU
Intern Engineer - Game Engine System
Edmonton, ABHuawei Technologies Canada Co., Ltd.
Huawei Technologies Canada needs candidates pursuing a BSc or MSc in computer science or engineering. They need strong modern C++ and Unreal Engine internals knowledge, plus experience debugging and profiling.
Unreal Engine, Unreal Insights, RenderDoc, CANN
Intern Engineer – RL Post-Training for LLMs
Vancouver, BCHuawei Technologies Canada Co., Ltd.
Candidates need to be enrolled as a Master's or PhD student in computer science, AI or a related field, with a strong background in machine learning, reinforcement learning and deep learning. Proficiency in Python, PyTorch and LLM frameworks is required, and hands-on RL and LLM experience is an asset.
PyTorch, Hugging Face, DeepSpeed, vLLM, SGLang, VeRL
Intern Researcher - AI/ML Technology Insight and Planning
Vancouver, BCHuawei Technologies Canada Co., Ltd.
Huawei Technologies Canada needs candidates with a PhD or Master's in Computer Science, Engineering, or a related field focused on AI and deep learning, plus published research. Candidates also need hands-on AI/ML R&D experience and strong communication and presentation skills.
ML, Data analysis, Research, Negotiate with stakeholders, Blueprints, Process improvement
Intern Engineer - AI
Vancouver, BCHuawei Technologies Canada Co., Ltd.
Huawei Technologies Canada needs a Bachelor's degree or higher in computer science or a related field, with a focus on computer graphics, vision or machine learning. Candidates should know deep learning methods, dense estimation work, and Python with PyTorch or TensorFlow.
Python, PyTorch, TensorFlow
Engineer - KHRONOS Standard
Vancouver, BCHuawei Technologies Canada Co., Ltd.
Candidates need a Bachelor's or Master's in computer science or a related field, with applied machine learning for graphics or vision. Experience with KHRONOS or W3C standards, graphics APIs such as Vulkan and OpenGL, and parallel or distributed computing is needed.
Research, Photography, Leadership, OpenGL, Computer science, ML
Research Engineer - AI Workload & Systems
Markham, ONHuawei 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, 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