Research Engineer - Agentic Software Systems Engineering

A PhD degree in Computer Science, Software Engineering, Requirements Engineering, Artificial Intelligence or closely related fields.

Hands-on experience with modern code agent tools framework and familiarity with system engineering methodologies in the agentic coding space, with a solid understanding of how foundation models, agent tooling, and engineering frameworks interact across the full stack.

Strong background in AI software development system workflow design and multi-agent systems for software engineering, with experience decomposing complex development tasks into agent-executable steps and defining coordination protocols, role specialization, and decision-making across planning, coding, reviewing, testing, and debugging agents.

Experience developing reusable engineering assets and evaluation frameworks for code agents —including sub-agents, skills, tool libraries, prompt/context engineering modules, and benchmarking pipelines on realistic software engineering scenarios—to improve agent capability, reliability, and human-collaboration quality.

Proficiency in Python (or TypeScript, Go, or C/C++), with the ability to translate research ideas into scalable, reproducible prototype systems and to communicate technical insights effectively across research, engineering, and product teams; publications at top-tier venues (e.g., ICSE, FSE, NeurIPS, ICML, ICLR, ACL) or significant open-source contributions to code agent frameworks or agentic systems are highly valued.

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.