Huawei Technologies Canada Co., Ltd.
Co-op Engineer - AI4Research
Waterloo, Ontario, Canada · Intern · Internship
Sponsorship not specified$58k-$104kDetected 19 days ago
TypeScriptPythonCode ReviewGitData ScienceAgentic AIResearchCommunication
About the role
- The 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.
Responsibilities
- Build pipelines for paper analysis, source discovery, claim extraction, citation verification, benchmark reproduction, and report generation.
- Maintain project-level context maps, execution traces, research evidence, and reusable knowledge assets.
Nice to have
- Current enrollment in a Computer Science, Software Engineering, Computer Engineering, Data Science, or related undergraduate program.
- Strong programming ability in Python and/or TypeScript/JavaScript.
- Experience using AI tools to do more than autocomplete code, such as debugging, refactoring, writing tests, generating documentation, or validating implementation plans.
- Familiarity with Git, GitHub, branches, pull requests, code review, and issue-based development.
- Ability to write and run tests, inspect logs, reproduce bugs, and verify outputs.
Skills
- Huawei Canada is committed to a fair, inclusive, and accessible recruitment process.
- This department offers a unique opportunity to leverage both technical and business skills.
- Use AI coding tools as first-class development workers rather than simple autocomplete tools.
- Route tasks across API models, coding agents, AI tools, local models, and remote workers.
- Practical experience using at least one AI coding tool such as Codex, Claude Code, Antigravity, or similar tools.
- Strong problem decomposition skills and willingness to work with ambiguous, fast-evolving technical requirements.
- Clear written communication skills for documenting technical decisions, workflows, and verification results.
Compensation
- Convert user goals into structured requirements, contracts, task graphs, and acceptance criteria.
- Coordinate multiple AI agents, code agents, browser agents, local models, and human reviewers.
- Use AI coding tools as first-class development workers rather than simple autocomplete tools.
- Ensure that outputs are backed by artifacts, logs, tests, citations, or other verifiable evidence.
- Route tasks across API models, coding agents, AI tools, local models, and remote workers.
- Build pipelines for paper analysis, source discovery, claim extraction, citation verification, benchmark reproduction, and report generation.
Company info
- About the job: Convert user goals into structured requirements, contracts, task graphs, and acceptance criteria.
- Coordinate multiple AI agents, code agents, browser agents, local models, and human reviewers.
- Ensure that outputs are backed by artifacts, logs, tests, citations, or other verifiable evidence.
- The total target annual compensation (based on 2,080 hours per year) ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise.
- About the ideal candidate: Current enrollment in a Computer Science, Software Engineering, Computer Engineering, Data Science, or related undergraduate program.
Equal opportunity
- 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.
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