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Huawei Canada

Senior Researcher – GPU, AI & Hardware Architecture

  • Seen live on Huawei Canada's site yesterday
  • Senior
Pay
Not stated
Location
Edmonton, Alberta, Canada
Open for
13+ days
First seen
Oct 22, 2026
Apply on Huawei Canada's site (opens in a new tab)

Posting record

No flags

Open 13+ days

The posting's record, oldest first
  1. Already up when Ghostless started watching Huawei Canada
  2. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Huawei Canada, so its true age is longer.

Last checked Nov 3, 2026.

How well do you match?

See how much of this posting your resume shows, and what it's missing.

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What it asks of you

PhD asked for
“PhD in a computer-related field (with a focus on AI/ML or computer architecture) plus industry work experience.” (quoted from the posting)

What the posting discloses

AI screening
No AI screening
All applications for this position are reviewed directly by our hiring team, we do not use artificial intelligence tools to screen or select candidates. (quoted from the posting)

Not stated: Pay, real vacancy.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

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.

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