Co-op Researcher-AI for Autonomous Driving & Multimodal Learning
Huawei Technologies Canada Co., Ltd. Open · verified Oct 22, 2026 At a glance
Junior AI Research role at Huawei Technologies Canada Co., Ltd. Markham · internship.
Pay not stated AI Research salary
aimlroles summary, based on the employer's posting.
What you'll do
- Investigate autonomous-driving and multimodal reasoning questions, including scene understanding, decisions and spatial reasoning
- Build deep-learning and transformer algorithms for vision-language and vision-language-action models
- Test research ideas with simulation tools and driving datasets, then assess model behavior and create visualizations
- Help maintain benchmarks and reproducible code, while supporting researchers’ projects, publications and technical presentations
What you bring
- You are enrolled in a co-op program and remain registered for an official work term throughout the placement
- You are working toward a bachelor’s degree in computer science, software engineering, electrical or computer engineering, or a related field
- You program strongly in Python and know deep-learning fundamentals, including linear algebra, probability and optimization
- You have used PyTorch and are comfortable with Linux and tools such as Git, Docker or Jupyter
Who this fits
This co-op suits a student curious about computer vision, multimodal models, reinforcement learning or autonomous driving. The placement runs for twelve or sixteen months, and you must be available for an official co-op term covering the full period. The role is on-site in Markham, and English proficiency is essential for regular communication with colleagues outside Quebec and for the specialized work.
From the employer
Huawei Canada has an immediate 12/16-month Co-op opening for a Researcher role.
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 LLMs, RL, NLP, computer vision, AI theory and Autonomous driving.
About the job:
Investigate challenging problems in autonomous driving and multimodal reasoning (e.g., scene understanding, decision making, spatial reasoning, or causal learning).
Design and implement state-of-the-art algorithms using deep learning and transformer-based architectures for vision-language(-action) models.
Prototype and evaluate new ideas using internal simulation tools (e.g., CARLA, Navsim) and large-scale driving datasets (waymo, etc.)
Analyze model behaviors, develop visualizations, and contribute to benchmarking pipelines.
Collaborate closely with senior researchers to support ongoing research projects and publications.
Participate in regular technical discussions, contribute to internal presentations, and help maintain clean, reproducible codebases.
About the ideal candidate:
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
Currently pursuing a Bachelor’s degree in Computer Science, Software Engineering, Electrical/Computer Engineering, or a related field.
Strong programming skills, particularly in Python.
Familiar with deep learning frameworks such as PyTorch.
Comfortable working in a Linux environment and using tools such as Git, Docker, or Jupyter.
Knowledgeable in machine learning fundamentals — linear algebra, probability, optimization, and deep learning architectures.
Curious about or experienced in one or more of:
Computer Vision / Scene Understanding
Vision-Language(-Action) Models (VLMs, VLAs)
Reinforcement Learning or Policy Learning
Autonomous Driving Simulation / CARLA
Foundation Models and Multimodal Representation Learning
Huawei aims to support a French-speaking work environment for its employees in Quebec. We have taken steps to avoid requiring a language other than French for this position. However, proficiency in English is essential for this role for the following reasons:
The person will be required to communicate regularly with colleagues located outside Quebec, where English is the primary language used for communication between offices. In addition, the nature of the tasks related to this position, which falls within a highly specialized field of artificial intelligence, also requires knowledge of English.