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Research Engineer – Multimodal AI & Interaction
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Full-time
Added 3 months ago
HT
Researcher – Human-Computer Interaction
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Full-time
Added 3 months ago
HT
Co-op Engineer - AI Software Engineering
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Internship
Added 3 months ago
HT
Intern Researcher - AI/ML Technology Insight and Planning
Huawei Technologies Canada Co., Ltd.
Vancouver, BC
- Internship
Added 3 months ago
HT
Engineer - Optical Communication Systems (Test, Modeling & Sensing)
Huawei Technologies Canada Co., Ltd.
Ottawa, Ontario
- Full-time
Added 4 months ago
HT
Research Engineer - Agentic Software Systems Engineering
Huawei Technologies Canada Co., Ltd.
Markham, Ontario
- Full-time
Added 4 months ago
HT
Research Engineer - LLM Training & Alignment Systems
Huawei Technologies Canada Co., Ltd.
Kingston, Ontario
- Contract
Added 3 months ago
HT
Intern Engineer – RL Post-Training for LLMs
Huawei Technologies Canada Co., Ltd.
Vancouver, BC
- Internship
Added 4 months ago
HT
Intern Engineer - Game Engine System
Huawei Technologies Canada Co., Ltd.
Edmonton, Alberta
- Internship
Added 4 months ago
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Researcher – Agentic Interaction Engineering
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Contract
Added 4 months ago
HT
Technology Ecosystem & Academic Relations Lead
Huawei Technologies Canada Co., Ltd.
Markham, Ontario
- Contract
Added 4 months ago
HT
Academic Development and Cooperation Expert
Huawei Technologies Canada Co., Ltd.
Markham, Ontario
- Full-time
Added 4 months ago
HT
Researcher - AI Computing System
Huawei Technologies Canada Co., Ltd.
Vancouver, BC
- Contract
Added 4 months ago
HT
Co-op Software Engineer - AI System & Infrastructure
Huawei Technologies Canada Co., Ltd.
Burnaby, British Columbia · Vancouver, BC
- Internship
Added 4 months ago
HT
Intern Engineer – C++
Huawei Technologies Canada Co., Ltd.
Markham, Ontario
- Internship
Added 4 months ago
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Project Specialist
Huawei Technologies Canada Co., Ltd.
Waterloo, ON
- Contract
Added 4 months ago
HT
Intern Researcher - Physical AI
Huawei Technologies Canada Co., Ltd.
Markham, Ontario
- Internship
Added 4 months ago
HT
Intern Researcher - LLMs Agentic AI and RL
Huawei Technologies Canada Co., Ltd.
Markham, Ontario
- Internship
Added 4 months ago
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Co-op Researcher - Web & AI
Huawei Technologies Canada Co., Ltd.
Markham, Ontario
- Internship
Added 5 months ago
HT
Machine Learning Researcher -LLM Agents & Efficient Deep Learning
Huawei Technologies Canada Co., Ltd.
Montreal, Quebec
- Full-time
Added 5 months ago
HT
AI Software Developer - Smart Grid
Huawei Technologies Canada Co., Ltd.
Montreal, Quebec
- Full-time
Added 5 months ago
HT
Researcher - AI Computing System
Huawei Technologies Canada Co., Ltd.
Vancouver, BC
- Contract
Added 5 months ago
HT
Senior Engineer-Cloud AI Infrastructure
Huawei Technologies Canada Co., Ltd.
Markham, Ontario
- Full-time
Added 5 months ago
HT
Chief Scientist - Physical AI
Huawei Technologies Canada Co., Ltd.
Ottawa, ON
- Full-time
Added 5 months ago
HT
Chief Scientist - Physical AI
Huawei Technologies Canada Co., Ltd.
Montreal, Quebec
- Full-time

Huawei Technologies Canada Co., Ltd.

Research Engineer - LLM Training & Alignment Systems

1055 Princess St., Kingston, ON, K7L 1H3, Canada

The total target annual compensation (based on 2,080 hours per year) ranges from $127,000 to $225,000 depending on education, experience, and demonstrated expertise. · Contract

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Job details

Pay: The total target annual compensation (based on 2,080 hours per year) ranges from $127,000 to $225,000 depending on education, experience, and demonstrated expertise.
Job type: Contract
Posting language: English
Posted: Jun 3, 2026

Original job description

Huawei Canada has an immediate 12-month contract opening for a Research Engineer.

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 optimize distributed training and alignment pipelines, including supervised fine-tuning, reward modelling, and reinforcement learning–based preference optimization (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.

The total target annual compensation (based on 2,080 hours per year) ranges from $127,000 to $225,000 depending on education, experience, and demonstrated expertise.

About the ideal candidate:

Hands-on experience with large language model training and alignment, including supervised fine-tuning (SFT), reward modeling, preference learning, and reinforcement learning–based optimization (e.g., PPO, GRPO), with a solid understanding of stability, scalability, and efficiency trade-offs .
Strong background in large-scale distributed training systems, with experience optimizing performance, resource utilization, and reliability across multi-node, multi-device, and heterogeneous hardware environments (e.g., GPU, NPU). Experience building SFT data pipelines, including semantic deduplication and synthetic data generation, with a clear understanding of how data quality and distribution affect model behavior and alignment.
Experience designing or applying LLM evaluation and benchmarking frameworks, including automated evaluation, preference-based assessment, and regression analysis to measure model quality, alignment, and robustness.
Proficiency in Python, C/C++, or Go, with the ability to translate research ideas into scalable, reproducible prototype systems, and to communicate technical insights effectively across research and engineering teams.

Additional Information:

Huawei Canada is committed to a fair, inclusive, and accessible recruitment process. If you require accommodation during any stage of the hiring process, please let us know and we will work with you to meet your needs.

All applications for this position are reviewed directly by our hiring team, we do not use artificial intelligence tools to screen or select candidates.

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More about this job

Responsibilities

Research and build core infrastructure and platforms for the full lifecycle of large foundation model development, including training, alignment, and evaluation. Collaborate with cross-functional teams to integrate novel algorithms into in-house platforms and contribute to research publications.

Requirements

Requires hands-on experience with LLM training, alignment techniques like SFT and PPO, and large-scale distributed systems across heterogeneous hardware. Proficiency in Python, C/C++, or Go is necessary to translate research into scalable prototype systems.

Skills

LLM Training
Model Alignment
Supervised Fine-Tuning
Reinforcement Learning
Distributed Training
Data Curation
Python
C/C++
Go
PPO
GRPO
Reward Modeling
Benchmarking Frameworks
Performance Modeling
Resource Allocation
Fault Tolerance

Visa sponsorship

Not detected in the job text

Keywords

Large Language Models
LLM
SFT
PPO
GRPO
Distributed Training
GPU
NPU
Synthetic Data Generation
Semantic Deduplication
Foundation Models
Reward Modeling
Preference Optimization
Software Engineering
Cloud-Native Computing
Hyper-cluster Programming
Python
C++
Go
Benchmarking
Model Robustness
Fault Tolerance
Communication Efficiency
Research Engineering
Open Source

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