Senior Principal Researcher - AI Science

Senior Principal Researcher - AI for Science

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The Technology Planning and Cooperation Department promotes strategic innovation across all of Huawei Canada. Working with fellow experts, the focus is researching new and upcoming areas of technology as well as strategic planning to help achieve long term vision of Huawei. This department offers a unique opportunity to leverage both technical and business skills.

While we are developing next-generation computing infrastructure and AI foundation models that integrate physics, simulation, and learning at unprecedented scale, this position is targeting a bright individual who bridges scientific AI research and system-level innovation—advancing our mission of combining computing and connectivity to enable large-scale AI for Science and simulation intelligence.

Huawei Canada has an immediate permanent opening for a Senior Principal Researcher - AI for Science.

• Conduct cutting-edge research at the intersection of Scientific computation and AI infrastructure, including physics-informed AI, distributed training, and hybrid simulation–ML workflows.
• Collaborate across Huawei’s Computation + networking R&D divisions to design infrastructure-aware AI models and co-optimize algorithms and hardware.
• Lead or contribute to AI4
  
  Science foundation models in areas such as materials, physics, molecular, or multi-scale simulation.
• Prototype distributed training solutions and integrated AI pipelines using Huawei’s Mind Spore and Ascend AI ecosystems.
• Publish research in top-tier ML and science venues (e.g., NeurIPS, ICML, JHEP, PRD) and contribute to Huawei’s internal IP and R&D assets.
• Mentor junior researchers and contribute to long‑term strategic planning of Huawei’s AI4
  
  Sci + Compute Infrastructure initiatives.

• Ph.D. in Physics, Computer Science, Computational Science, or a related field.
• Proven research experience in AI for Science, scientific simulation, or physics-informed learning.
• Strong programming and distributed system experience (Python, CUDA, PyTorch, Tensor Flow).
• Familiarity with HPC, parallel computing, or large‑scale AI infrastructure.
• Strong research record demonstrated through publications or impactful project experience.

Mid‑Senior level

Full‑time

Education and Training

Telecommunications

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