Researcher – Computer Vision & Human-Centered AI

Huawei Canada has an immediate 12-month contract opening for a Researcher.

About the team:

The Huawei Human-Machine Interaction Lab unites global researchers, engineers, and designers to redefine human technology relationships through user centered, hands on research. We focus on agentic AI and multimodal interaction (voice, touch, vision, gesture) across smartphones, wearables, and emerging devices—advancing agentic workflows, multi-agent orchestration, and intuitive human-AI interfaces. By tightly integrating sensing, algorithms, and systems, our prototype driven work ships directly to products, enabling seamless task delegation and human AI collaboration at scale.

About the job:

• Conduct advanced research in computer vision focusing on 2D/3D scene understanding, tracking, and real-time reconstruction.

Advance vision-centric perception pipelines and sensor fusion techniques to improve spatial awareness and device understanding of the physical world.

• Integrate vision foundation models and vision-language models with LLMs to build smart workflows that enhance human-AI collaboration and reasoning.
• Optimize end-to-end vision pipelines from raw sensor data to real-time inference, balancing accuracy with hardware constraints like power, memory, and latency.
• Establish comprehensive evaluation frameworks and success metrics to assess both core algorithmic performance and human-centric user outcomes.
• Collaborate with engineering, hardware, and design teams to translate vision research into product-ready solutions and interactive prototypes.

The total target annual compensation (based on 2,080 hours per year) ranges from $106,000 - $156,000 depending on education, experience, and demonstrated expertise.

About the ideal candidate:

• Master's or PhD in Computer Science, Engineering, Robotics, or AI with a specialization in computer vision or visual perception (or equivalent industry R&D experience).
• 3+ years of applied R&D experience in computer vision for consumer electronics, robotics, or AR/VR, with a track record of contributing to shipped products.
• Deep expertise in core computer vision techniques, including object detection, image segmentation, 3D vision, and multi-camera calibration.
• Proficiency in vision-specific deep learning frameworks and edge deployment tools, with experience optimizing models for hardware acceleration.
• Working fluency with modern AI/ML concepts, including Vision-Language Models, multimodal fusion, and agentic workflows.
• Strong programming skills in C/C++ and Python, with experience in real-time video processing pipelines and embedded hardware prototyping.
• Awareness of emerging computer vision trends with the ability to translate academic research into practical product opportunities.