Huawei Canada has an immediate permanent opening for an Engineer.
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.
About the ideal candidate:
Bachelor’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.
Skills Required
- Bachelor’s degree or higher, or equivalent practical experience, in Computer Science, Artificial Intelligence, Machine Learning, or a related field
- Solid programming skills and proficiency in Python
- Familiarity with asynchronous programming, type systems, and software engineering best practices
- Deep understanding of large language models, including prompt engineering, context management, and function calling
- Familiarity with at least one agent framework, such as LangChain, AutoGen, or CrewAI
- Experience maintaining or contributing to open-source projects
What We Do
Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We are committed to bringing digital to every person, home and organization for a fully connected, intelligent world. We have approximately 197,000 employees and we operate in over 170 countries and regions, serving more than three billion people around the world. In Canada, Huawei conducts innovative and leading edge research in 5G technologies, along with advanced development of emerging cloud, device and network technologies & services. While our renowned Canada Research Centre in the thriving technology landscape of Ottawa, Ontario continues to grow rapidly in size and strategic product initiatives, additional presence has also been established across Canada with R&D facilities in Vancouver, Edmonton, Waterloo, Markham, Montreal, and a R&D office in Quebec City.
