Huawei Canada has an immediate permanent opening for a Researcher.
About the team:
The Software-Hardware System Optimization Lab focuses on research and innovation in power efficiency and performance optimization for consumer devices. By leveraging the talents and capabilities of local academia and our team, we aim to build system-optimization capabilities for software and hardware across edge AI, multimedia, graphics, mobile gaming, and system software domains, thereby enhancing the user experience and performance competitiveness of Huawei's consumer device products.
About the job:
Research and prototype next-generation GPU/AI/hardware architectures — explore the frontier of AI-driven rendering, AI model training/fine-tuning on GPUs, and heterogeneous compute (CPU/GPU/NPU) co-design to shape future product direction.
Design and build AI compute platforms and toolchains — develop training/fine-tuning support, model deployment, evaluation harnesses, and agent/skill tooling that enable AI teams to move faster.
Profile and optimize GPU/CPU/AI performance across multiple platforms, driving real, measurable improvements from architecture down to kernel and shader level.
Build bridges across the stack — collaborate closely with hardware design, software/driver, AI/algorithm, and product/game teams to validate ideas from architecture through to production.
About the ideal candidate:
PhD in a computer-related field (with a focus on AI/ML or computer architecture) plus industry work experience.
Working knowledge of AI — familiarity with AI frameworks such as PyTorch, TensorFlow, or JAX, and a solid grasp of model training, fine-tuning, and inference workflows even if not at an expert level.
Proficiency in C/C++ and the ability to balance tradeoffs between architecture, design, and performance.
A research mindset — comfort exploring uncertain frontiers, validating hypotheses with prototypes, and communicating findings across teams.
Familiarity with the GPU ecosystem — CUDA, Vulkan, OpenGL, OpenCL, and/or WebGPU — with hands-on experience in at least one of these and the ability to reason about GPU microarchitecture and performance.
Familiarity with hardware architecture with hands-on practical experience, understanding how both graphics (rendering/games) and AI (training/inference) workloads shape hardware design, memory, and compute decisions.
Experience building AI agent / harness / skill toolchains, including model evaluation, orchestration, and LLM-powered tooling.
Additional Information:
Huawei Canada is committed to a fair, inclusive, and accessible recruitment process. If you require accommodation during any stage of the hiring process, please let us know and we will work with you to meet your needs.
All applications for this position are reviewed directly by our hiring team, we do not use artificial intelligence tools to screen or select candidates.
Skills Required
- PhD in a computer-related field focused on AI/ML or computer architecture
- Industry work experience
- Working knowledge of AI, including model training, fine-tuning, and inference workflows
- Familiarity with AI frameworks such as PyTorch, TensorFlow, or JAX
- Proficiency in C and C++
- Hands-on experience with at least one GPU technology such as CUDA, Vulkan, OpenGL, OpenCL, or WebGPU
- Ability to reason about GPU microarchitecture and performance
- Hands-on practical experience with hardware architecture, including graphics and AI workloads
- Experience building AI agent, harness, or skill toolchains involving model evaluation, orchestration, and LLM-powered tooling
- Research mindset with experience prototyping, validating hypotheses, and communicating findings across teams
What We Do
Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We are committed to bringing digital to every person, home and organization for a fully connected, intelligent world. We have approximately 197,000 employees and we operate in over 170 countries and regions, serving more than three billion people around the world. In Canada, Huawei conducts innovative and leading edge research in 5G technologies, along with advanced development of emerging cloud, device and network technologies & services. While our renowned Canada Research Centre in the thriving technology landscape of Ottawa, Ontario continues to grow rapidly in size and strategic product initiatives, additional presence has also been established across Canada with R&D facilities in Vancouver, Edmonton, Waterloo, Markham, Montreal, and a R&D office in Quebec City.
