Researcher – Computer Vision & Human-Centered AI

Huawei Technologies Canada Co., Ltd. • Markham, ON

1d • CA$106,000 - CA$156,000

About The Position

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

Requirements

• 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.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior