Research Engineer - LLM Training & Alignment Systems
Confidential
Posted: February 9, 2026
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Research Engineer-LLM Training & Alignment Systems
Required Skills
Job Description
Huawei Canada has an immediate 12-month contract opening for a Research Engineer-LLM Training & Alignment Systems
About the team:
The Centre for Software Excellence Lab conducts pioneering research in software engineering, focusing on next-generation technologies. This team integrates industry best practices with cutting-edge academic research to address lifecycle software engineering challenges, including foundation model applications, software performance engineering, hyper-cluster programming, next-gen mobile OS, and cloud-native computing. This lab uniquely allows researchers to apply innovations directly to products affecting billions of customers while promoting open-source contributions, publications, conference participation, and collaborations to create a broader impact.
About the job:
• Research, prototype, and build core infrastructure, tooling, and platforms to support the full lifecycle of large foundation model development, including data curation, model training, alignment, and evaluation, with a strong focus on scalability, efficiency, and research impact.
• Design and implement systems and workflows for SFT data curation, deduplication, and synthetic data generation, enabling high-quality training signals for large language models. Develop and optimise distributed training and alignment pipelines, including supervised fine-tuning, reward modelling, and reinforcement learning–based preference optimisation (e.g., PPO, GRPO), across heterogeneous hardware platforms.
• Build and evaluate LLM evaluation and benchmarking frameworks to assess model quality, alignment, robustness, and regression across training iterations. Collaborate closely with systems, hardware, and research teams to integrate novel algorithms and software frameworks into in-house platforms, addressing challenges such as performance modelling, resource allocation, scheduling, fault tolerance, and communication efficiency.
• Work with leading industry and academic experts worldwide, contribute to impactful research publications, and drive innovation through prototype systems and patentable inventions that advance large-scale model training and serving.