About this role
Huawei Canada has an immediate permanent opening for a Researcher.
About the team:
The Distributed Data Storage and Management Lab leads research in distributed data systems, aiming to develop next-generation cloud serverless products that encompass core infrastructure and databases. This lab addresses various data challenges, including cloud-native disaggregated databases, pay-by-query user models, and optimizing low-level data transfers via RDMA. Teams within this lab create advanced cloud serverless data infrastructure and implement cutting-edge networking technologies for Huawei's global AI infrastructure.
About the job
-
Participate in the core design and development of our proprietary open-source agent framework, including architectural evolution, module abstraction, toolchain construction, and developer experience optimization.
-
Deeply track and technically dissect emerging agent projects such as OpenClaw and Hermes, understand their design philosophies, capabilities, and innovations, and integrate effective ideas into our framework and products.
-
Design and implement mainstream and cutting-edge agent architectures, exploring advanced mechanisms such as self-evolution and multi-agent collaboration.
-
Drive the deployment of the Agent framework in real-world toB and toC products, extracting requirements from developer feedback and business scenarios to continuously improve the framework.
The total target annual compensation for this position ranges from $106,000 to $156,000 depending on education, experience, and demonstrated expertise.
Requirements
-
About the ideal candidate:
-
Master’s degree or higher (or equivalent practical experience) in Computer Science, Artificial Intelligence, Machine Learning, or related fields.
-
Solid programming skills, proficiency in Python, familiarity with asynchronous programming, type systems, and engineering best practices. Experience maintaining or contributing to open-source projects is a plus.
-
Deep understanding of the principles and usage of large language models (GPT, Claude, Qwen, LLaMA, etc.), including prompt engineering, context management, function calling, etc.
-
Familiarity with at least one agent framework (LangChain, AutoGen, CrewAI, etc.) and the ability to critically analyze its architectural strengths and weaknesses.
-
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.