Senior AI System Engineer, LLM Training System
- USD 127,000 to 225,000 per year
- Vancouver, BC
- Senior
- Posted yesterday
or apply from Claude / ChatGPT / Muse
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
How Keywordise applies for you
Alex Demo
[email protected]
From your CV
Yes, fully remote
- Sent
- 09:41
- Attached
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- In Claude, open Settings, then Connectors, and choose Add custom connector.
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Add a custom connector called Keywordise. It is a remote MCP server at https://keywordise.com/mcp and uses OAuth. Give me the sign-in link.Muse is available in the US only for now.
Apply to Keywordise job jcg5eebm2eQuestions 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.
How do I apply with Keywordise AI?
Click Apply with Keywordise AI, create an account and upload your CV. Your CV and cover letter are written for this job from what you have really done, then Keywordise applies for you. Trial: 7 days, no card.
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