Senior Researcher – GPU, AI & Hardware Architecture
Huawei Technologies Canada Co., Ltd. Open · verified Oct 22, 2026 At a glance
Senior AI Research role at Huawei Technologies Canada Co., Ltd. Edmonton · full-time · no salary stated · we estimate CA$151,100–CA$175,975 across Canada.
Huawei Technologies Canada Co., Ltd. has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Prototype GPU, AI and hardware designs, exploring AI rendering, GPU model training and combined CPU, GPU and NPU computing
- Build platforms and tools for AI training, fine-tuning, model deployment, evaluation and agent workflows
- Measure GPU, CPU and AI performance across platforms, then improve results from architecture through kernels and shaders
- Test architecture ideas with hardware, driver, AI and product teams, carrying promising work toward production
What you bring
- A PhD in a computing field centered on AI, machine learning or computer architecture, plus industry experience
- Strong C and C++ skills, with the ability to weigh architecture, design and performance tradeoffs
- Practical experience with at least one GPU ecosystem such as CUDA, Vulkan or another listed option
- Hands-on hardware architecture experience, plus working knowledge of AI training, fine-tuning and inference
Who this fits
This senior research role suits someone who can investigate uncertain technical questions, build prototypes and share findings across teams. The position is onsite in Edmonton.
From the employer
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.