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.
Skills Required
- Pursuing a Bachelor's degree in Computer Science, Software Engineering, Electrical/Computer Engineering, or related field
- Strong programming skills in Python
- Familiarity with deep learning frameworks like PyTorch
- Comfortable working in a Linux environment
- Knowledge in machine learning fundamentals
What We Do
Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We are committed to bringing digital to every person, home and organization for a fully connected, intelligent world. We have approximately 197,000 employees and we operate in over 170 countries and regions, serving more than three billion people around the world. In Canada, Huawei conducts innovative and leading edge research in 5G technologies, along with advanced development of emerging cloud, device and network technologies & services. While our renowned Canada Research Centre in the thriving technology landscape of Ottawa, Ontario continues to grow rapidly in size and strategic product initiatives, additional presence has also been established across Canada with R&D facilities in Vancouver, Edmonton, Waterloo, Markham, Montreal, and a R&D office in Quebec City.
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