Co-op Engineer - AI4Research

Huawei Technologies Canada Co., Ltd.Waterloo, ON
CA$58,000 - CA$104,000

About The Position

Huawei Canada has an immediate 4-8 month co-op opening for an Engineer. 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. This department offers a unique opportunity to leverage both technical and business skills.

Requirements

  • 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.
  • Practical experience using at least one AI coding tool such as Codex, Claude Code, Antigravity, or similar tools.
  • 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.
  • 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.

Responsibilities

  • 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.
  • Maintain project-level context maps, execution traces, research evidence, and reusable knowledge assets.
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