Posting record
Open 13+ days
- Already up when Ghostless started watching Huawei Canada
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Huawei Canada, so its true age is longer.
Last checked Nov 3, 2026.
How well do you match?
See how much of this posting your resume shows, and what it's missing.
Upload your resumeWhat it asks of you
- Must be a current student
- Bachelor's degree asked for
What the posting discloses
- Pay
- $58k to $104k a year CAD
The total target annual compensation for this position ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise. (quoted from the posting)
- AI screening
- No AI screening
All applications for this position are reviewed directly by our hiring team, we do not use artificial intelligence tools to screen or select candidates. (quoted from the posting)
Not stated: Real vacancy.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Skills mentioned
About the role
Huawei Canada has an immediate co-op opening for an Engineer.
About the team
Founded in 2012, the Noah’s Ark lab has evolved into a prominent research organization with notable achievements in academia and industry. The lab’s mission focuses on advancing artificial intelligence and related fields to benefit the company and society. Driven by impactful, long-term projects, the aim is to enhance state-of-the-art research while integrating innovations into the company's products and services, including Next Generation Foundation Model, Agentic Models, Physical AI and Reinforcement Learning.
About the job
- Develop and maintain software tools and infrastructure for machine learning and AI workflows.
Build backend services, APIs, automation tools, and system integrations.
- Support large-scale experiment execution, evaluation, and data processing workflows.
- Debug technical issues and improve system reliability, performance, and usability.
- Work with researchers and engineers to understand requirements and translate them into practical software solutions.
- Communicate with internal users, collect feedback, and occasionally provide technical support for developed tools.
- Write clean, maintainable, and well-tested code.
The total target annual compensation for this position ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise.
About the ideal candidate
- Currently pursuing a Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Machine Learning, or a related field.
- Strong programming skills, preferably in Python.
Solid software engineering fundamentals, including debugging, testing, Git, and working with existing codebases.
- Familiarity with Linux development environments.
Strong problem-solving skills and ability to learn unfamiliar technologies independently.
- Good communication skills and ability to clarify and understand technical requirements.
- Basic understanding of machine learning and modern AI systems.
- Experience with backend development, REST APIs, or databases.
- Experience with Docker, distributed systems, cloud or compute infrastructure
- Familiarity with LLMs, AI agents, or ML evaluation workflows. Experience with frontend development such as React or TypeScript. Open-source contributions, internships, or substantial personal software projects.
- Applicants must be enrolled in a co-op program and be registered for an official co-op work term for the full duration of the employment period
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.
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