Researcher - AI
Edmonton, ABHuawei Technologies Canada Co., Ltd.
Candidates need an MS or PhD in computer science or a related quantitative field, deep knowledge of reinforcement learning, and publications at top AI conferences. They also need strong Python and deep learning skills plus an understanding of hardware limits on edge devices.
PyTorch, JAX, TensorFlow, Python, C++, CUDA
Senior Researcher - Real Time Rendering
Edmonton, AB +1Huawei Technologies Canada Co., Ltd.
2+ YOECandidates need a BSc in computer science or engineering, or equivalent experience, plus hands-on work building real-time rendering systems and at least 2 years of research and engineering experience. Strong C/C++ skills and experience with Vulkan, OpenGL ES or DirectX are required.
Vulkan, OpenGL ES, DirectX
Researcher - Graphic Rendering
Edmonton, AB +1Huawei Technologies Canada Co., Ltd.
Candidates need a Master's or PhD in computer science, electronics engineering or a related field, plus experience in computer graphics or computer vision, ideally real-time rendering. Knowledge of neural rendering or 3DGS, graphics APIs such as Vulkan, OpenGL or DirectX, and strong communication and documentation skills are required.
Vulkan, OpenGL, DirectX, Unity
Senior Developer - GPU Driver
Markham, ONHuawei Technologies Canada Co., Ltd.
3+ YOECandidates need a bachelor's degree in a computing field, 3+ years of Linux software development, strong C/C++ or Python skills and deep knowledge of Linux, GPU driver architecture and memory management.
Linux, Docker, Kubernetes, KVM, QEMU, Xen
Embedded Engineer – AI System Architecture
Edmonton, ABHuawei Technologies Canada Co., Ltd.
Candidates need a Master's or PhD in computer science or a related field, plus experience with ML systems or performance engineering. Huawei Technologies Canada asks for strong C++, Python and Linux shell scripting skills and experience on large embedded projects.
C++, Python, Linux, Android
Engineer - ML & RL
Edmonton, ABHuawei Technologies Canada Co., Ltd.
Candidates need a Master's or PhD in computer science or machine learning, strong Python and software engineering skills, and experience implementing reinforcement learning beyond academic prototypes. Hands-on PyTorch and DeepSpeed experience and a top-tier publication are also required.
PyTorch, DeepSpeed, Python