Research Engineer - Agentic Software Systems Engineering

Huawei Canada; Markham; On-site; CAD 127,000 - 225,000; Full time

Job summary

Huawei Canada is looking for a Research Engineer to join their Intelligent Complex Systems Team. The role involves researching and building a comprehensive software system for AI agents. Ideal candidates will have a PhD in a relevant field and hands-on experience with code agent tools.

This position offers an annual compensation of $127,000 to $225,000 based on experience and qualifications. The company promotes a fair and inclusive recruitment process.

Qualifications

• Hands-on experience with modern code agent tools framework.
• Strong background in AI software development system workflow design.
• Experience developing reusable engineering assets for code agents.

Responsibilities

• Research and build a complete software system engineering framework.
• Investigate how code agents reshape software engineering paradigms.
• Develop techniques for coordination and execution across agent tasks.

Skills

AI software development

Multi-agent systems

Python

Code agent tools

Software engineering methodologies

Education

PhD in Computer Science or related fields

Tools

C/C++

TypeScript

Go

Job description

Huawei Canada has an immediate permanent opening for a Research Engineer.

About the team

The Intelligent Complex Systems Team, currently a part of the Waterloo Research Centre, examines recent advancements in artificial intelligence (AI) and robotics to determine its potential for broader applications. This innovative team researches AI challenges such as matching human capabilities and ensuring the safety of collaborative AI systems.

About the job

• Research, prototype, and build a complete agentic software system engineering framework spanning the foundation model layer, the code agent tooling layer, and the upper‑layer system engineering framework, enabling AI agents to evolve from consumer assistants into full‑fledged software engineering collaborators.
• Investigate how the rise of code agents is reshaping software engineering paradigms, and design new paradigms for human–Code Agent collaborative development, including the engineering decomposition of complex software development tasks and effective role allocation between humans and agents.
• Research multi‑agent collaboration patterns for software engineering, developing systematic techniques for coordination, decision‑making, and execution across specialized agents (planning, coding, reviewing, testing, debugging) on repository‑scale and product‑scale tasks.
• Build and optimize full‑stack engineering capabilities and reusable assets for code agents—including sub‑agents, skills, tool libraries, prompt/context engineering modules, and workflow templates—and contribute to the incubation of end‑to‑end code agent products powered by multi‑agent systems.

The total target annual compensation for this position ranges from $127,000 to $225,000 depending on education, experience, and demonstrated expertise.

Job requirements

About the ideal candidate

• 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.

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.