aimlroles

Researcher – Computer Vision and Autonomous Driving

Huawei Technologies Canada Co., Ltd. Open · verified Oct 22, 2026
On-site Markham Full-time Mid-level AI Research

At a glance

Mid-level AI Research role at Huawei Technologies Canada Co., Ltd. Markham · full-time · no salary stated · we estimate CA$120,250–CA$161,813 across Canada.

Estimated pay

Huawei Technologies Canada Co., Ltd. has not published a salary for this role. The figure below is our estimate, not theirs.

CA$120,250 – CA$161,813
What the middle half of mid-level AI research roles in Canada paid, among postings that did state a salary.
Worked out from 15 postings that stated pay, median CA$137,750. Last updated Oct 17, 2026.
RoleAI Research
SeniorityMid-level
LocationMarkham
WorkplaceOn-site
EmploymentFull-time
PostedApr 11, 2025 · 1y ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Develop computer vision and autonomous-driving research independently, then connect the results with planning and perception teams
  • Guide junior engineers and interns as they contribute to shared research work
  • Turn research contributions into patents and academic publications
  • Track advances in computer vision and machine learning, spot research opportunities, and deliver projects on schedule

What you bring

  • An advanced degree in computer science, robotics or a related area, focused on computer vision and machine learning
  • Practical success applying vision methods in real-world settings, with strong knowledge of algorithms such as 3D reconstruction or segmentation
  • Strong Python and C++ skills, plus experience with PyTorch, TensorFlow or another listed framework
  • A substantial publication history in leading AI venues, including CVPR, ICCV or another listed conference

Who this fits

This mid-level researcher role suits someone who can run projects independently while collaborating with planning and perception teams and mentoring junior colleagues. The position is based on-site in Markham, Canada.

From the employer

Huawei Canada has an immediate permanent opening for a Researcher.

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:

  • Independently contribute to research and development efforts within the areas of computer vision and autonomous driving.

  • Collaborate closely with cross-functional teams (e.g., planning, perception) to integrate computer vision solutions into the broader autonomous driving system.

  • Mentor and guide junior engineers and interns, fostering a collaborative and innovative team environment.

  • Contribute to the development of our intellectual property portfolio through patent filings and publications.

  • Stay abreast of the latest research and advancements in computer vision and machine learning. Proactively identify opportunities for innovation.

  • Independently manage projects and deliver high-quality results within established timelines.

About the ideal candidate:

  • Advanced degree (Ph.D. is an asset) in Computer Science, Robotics, or a related field with a focus on computer vision and machine learning.

  • Deep understanding of computer vision algorithms and techniques, e.g., 3D reconstruction, generative AI, visual recognition, semantic segmentation, etc.

  • Proven expertise in applying computer vision algorithms for real-world application.

  • Strong programming skills in Python and C++, with experience using deep learning frameworks (PyTorch, TensorFlow).

  • Excellent problem-solving and analytical skills, with the ability to tackle complex technical challenges.

  • A strong publication record in top-tier AI conferences/journals (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, AAAI, etc.).