Ascend NPU systems engineering drives Huawei Canada’s foundation-model performance through AscendC kernels and distributed scaling. This is a permanent senior engineering opportunity. As a Senior System Engineer, you will develop compute operators and optimize pre-training and post-training workloads.

The work spans AscendC, Triton, TileLang, MindSpeed, and upstream frameworks. You will improve training efficiency across Ascend NPU clusters through profiling, parallelism, and numerical alignment. Key Responsibilities:

Design and tune FlashAttention, GEMM, RMSNorm, and MoE operators Optimize MindSpeed and distributed foundation-model training pipelines Tune TP, PP, CP, EP, ZeRO,



and FSDP parallelism Profile Ascend hardware and reduce compute-communication overhead Contribute operators and acceleration features to open-source projects Requirements:

Technical degree and three-plus years of relevant experience AscendC or CUDA C/C++ operator-development experience Distributed framework experience with MindSpeed, Megatron, FSDP, veRL, or vLLM Solid C/C++ and modern Python programming proficiency Experience with Ascend Profiler, PyTorch Profiler, or Nsight Apply systems expertise in AscendC, distributed training, profiling, and low-precision computing to Huawei Canada’s accelerator platforms.

📌 Senior Ascend NPU Systems Engineer (Winnipeg)
🏢 Huawei Canada
📍 Winnipeg