Huawei Canada has an immediate 12-month internship opening for an AI Agent Intern Researcher.
About the TeamThe Technology Planning and Cooperation Department promotes strategic innovation across all of Huawei Canada. Working with fellow experts, the focus is researching new and upcoming areas of technology as well as strategic planning to help achieve long term vision of Huawei. This department offers a unique opportunity to leverage both technical and business skills.
About the job:The internship focuses on AI agents, foundation models, and intelligent systems, combining technology insight, research exploration, and system prototyping.
Interns will have the opportunity to work on cutting-edge topics such as AI agents, autonomous developer systems, and next-generation AI platforms, while building experimental prototypes that may influence future products and research directions.
Track frontier developments in AI agents, and AI systems to identify emerging technology opportunities.
Analyze research papers and industry trends to generate technical insights and potential research directions.
Contribute to internal research reports and briefings on emerging AI technologies and innovations.
Design and develop experimental prototypes exploring new AI architectures and system concepts.
Build early-stage systems related to AI agents, multi-agent systems, developer agents, and AI-native software platforms.
Experiment with emerging frameworks, agent platforms, and LLM-based tool ecosystems.
Develop and test LLM-powered applications, including agent workflows, tool-use, memory systems, and autonomous task planning.
The target annual compensation (based on 2080 hours per year) ranges from $93,000 to $104,000 depending on education, experience and demonstrated expertise.
About the Ideal Candidate:Pursuing a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Robotics, Systems, or a related field.
Strong interest or experience in areas such as large language models, foundation models, AI agents, or autonomous systems.
Familiarity with LLM-based applications, developer tools, or AI-native software platforms.
Understanding of AI systems, distributed infrastructure, robotics, or embodied intelligence is a plus.
Strong programming skills in Python, C++, Rust, or similar languages.
Experience with machine learning frameworks or LLM APIs.
Ability to read research papers and translate new ideas into prototypes and experiments.
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
- Pursuing a Ph.D. in Computer Science, AI, Machine Learning, Robotics, Systems, or related field.
- Strong interest or experience in large language models, foundation models, AI agents, or autonomous systems.
- Strong programming skills in Python, C++, Rust, or similar languages.
- Experience with machine learning frameworks or LLM APIs.
- Ability to read research papers and translate new ideas into prototypes and experiments.
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.
