Vancouver, British Columbia, Canada

Senior AI System Engineer - LLM Training System

USD 127K–225K / yearOn-siteSeniorData and machine learning

CC++PythonLLMPyTorchPhD

Original posting ↗Apply ↗Company job board ↗See this job in Telegram

Huawei Technologies Canada Co., Ltd., a company in AI and data, has an open position for Senior AI System Engineer - LLM Training System. The work is on-site in Vancouver, Canada. We classify it as a senior-level role in data and machine learning. The stack in the posting includes LLM, PyTorch, C, C++ and Python. Candidates need 3+ years of experience. There are 21 open positions from Huawei Technologies Canada Co., Ltd. on this site, 3 of them in IT and engineering.

Posted today · Last checked 2026-11-03

About Huawei Technologies Canada Co., Ltd.

AI and data Non-tech company with an IT team 21 open positions, 14% in IT and engineering. Most open roles: Science and research (6), Operations and admin (3), People / HR / recruiting (3).

All open jobs at Huawei Technologies Canada Co., Ltd. →

Similar jobs

Staff Technical Program Manager - AI/MLPlayStation Global · Canada, Waterloo, ONCAD 158.3K–237.5K / year Senior Machine Learning DeveloperClera · MontrealUSD 200K–250K / year Senior Data ScientistCoalition, Inc. · Any location, CanadaUSD 137.3K / year Copy of Senior Software Development Engineer in Test, MLPlayStation Global · Canada, Waterloo, ONCAD 114K–143K / year MLOps / Data EngineerJobgether · CanadaRemote AI Engineer (Agentic Systems)Jobgether · CanadaRemote Senior Analytics EngineerLightspeed Commerce, Inc. · MontrealHybrid Staff Machine Learning Engineer, Sensors & IntelligenceTonal · Toronto, ONCAD 160K–185K / year

140 open data and machine learning jobs in Canada All open jobs at Huawei Technologies Canada Co., Ltd. →

Workplace	On-site
Seniority	Senior
Role	Data and machine learning
Countries	Canada
Languages	CC++Python
Employment type	fulltime_permanent
Key facts	Stack: C, C++, Python, LLM, PyTorch · Experience: 3+ years

The full description is on the original posting. Labels are set automatically and can be wrong. About the data