Huawei Technologies Canada Co., Ltd.Hiring

Senior AI System Engineer, LLM Training System

  • USD 127,000 to 225,000 per year
  • Vancouver, BC
  • Senior
  • Posted yesterday
In one line

Senior systems role tuning LLM training on Ascend NPUs, writing high-performance kernels and scaling distributed pipelines; permanent and on-site with a lab team.

About the role

Suits an engineer who has shipped accelerator operators and distributed training systems and wants to work close to hardware. Work covers kernel design, parallelism tuning and numerical parity between training and serving.

At a glance

Pay
USD 127,000 to 225,000 per year
Location
Vancouver, BC
Seniority
Senior
Skills
AscendC, Triton, TileLang, Python, PyTorch, Megatron-LM, FP8
Posted
3 Nov 2026
Last checked
3 Nov 2026

What you will do

  • Design and tune core operators such as FlashAttention variants, FP8 GEMM and fused RMSNorm in AscendC
  • Scale distributed pre-training and RL post-training pipelines with MindSpeed and upstream frameworks
  • Profile on Ascend hardware with msprof, msprobe and PyTorch Profiler to remove stalls and communication overhead
  • Contribute operators and fixes to open-source Ascend and AI acceleration projects

What they look for

  • Degree in computer science, computer engineering, electrical engineering or a related field
  • 3+ years in HPC, AI accelerator operator work or distributed large model training
  • Hands-on AscendC or CANN experience, or CUDA C/C++ with the ability to move to AscendC
  • Interest or experience with Triton or TileLang for accelerator backends
  • Strong C/C++ and modern Python, including PyTorch custom C++ or CANN extensions

Nice to have

  • Practical experience with Megatron-LM, PyTorch FSDP, veRL, vLLM or DeepSpeed

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Questions about this job

Where is this job based?

The posting lists Senior AI System Engineer, LLM Training System as a role based in Vancouver, BC, Canada.

What does this job pay?

The posting states USD 127,000 to 225,000 per year.

What experience is needed?

It is a senior role. The posting asks for: degree in computer science, computer engineering, electrical engineering or a related field; 3+ years in HPC, AI accelerator operator work or distributed large model training; hands-on AscendC or CANN experience, or CUDA C/C++ with the ability to move to AscendC. Skills it names include AscendC, Triton, TileLang, Python.

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