Co-op Researcher– Embodied AI&Robot Interaction, Markham

About the team The Human-Machine Interaction Lab unites global talents to redefine the relationship between humans and technology. Focused on innovation and user-centered design, the lab strives to advance human-computer interaction research. Our team includes researchers, engineers, and designers collaborating across disciplines to develop novel interactive systems, sensing technologies, wearable and IoT systems, human factors, computer vision, and multimodal interfaces. Through high‑impact products and cutting‑edge research, we aim to enhance user experiences and interactions with technology.

About the job

Assist in designing and prototyping robotic systems that integrate embodied AI capabilities– enabling robots to perceive, act, learn, and interact with humans and environments in real time.

Design and implement the basic perception pipelines (e.g., object detection, gesture recognition, voice commands) and link them to robot actions using sensors (e.g., cameras, microphones, tactile sensors) and actuators.

Develop simple interaction loops where robots respond to user input and adapt their behavior based on context– exploring ideas like proactive assistance, shared control, or learning from demonstration.

Work with robot middleware (e.g., ROS/ROS2), simulation tools (e.g., Gazebo, Isaac Sim), and embedded systems to create cohesive embodied AI prototypes.

Stay current with introductory embodied AI concepts (e.g., sensorimotor learning, reinforcement learning, multimodal interaction) and document findings, code, and design decisions.

The

total target annual compensation

for this position ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise.

Job requirements About the ideal candidate

Currently pursuing a Bachelor’s degree in Computer Science, Robotics, Mechatronics, Electrical Engineering, or a related field, and registered with the school’s co‑op program.

Basic programming skills in Python and/or C++. Experience with LLM/VLA is an asset.

Foundational understanding of sensors (e.g., cameras, IMUs, microphones) and actuators (e.g., motors, servos).

Interest in embodied AI, human‑robot interaction, or machine learning for robotics – prior coursework or small projects in these areas is an asset.

Familiarity with basic control concepts (e.g., PID, feedback loops) or simulation tools is helpful but not required.

Strong problem‑solving skills, curiosity about how AI powers physical systems, and ability to work collaboratively in a fast‑paced research environment.

Additional Information Huawei Canada is committed to a fair, inclusive, and accessible recruitment process. If you require accommodation during any stage of the hiring process, please let us know and we will work with you to meet your needs. All applications for this position are reviewed directly by our hiring team; we do not use artificial intelligence tools to screen or select candidates.

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