Computer Vision Engineer; AI Perception

Hamilton, ON
· Canada Full Time AI team

We are seeking a Computer Vision Engineer (AI Perception) to design and implement perception systems that enable ROZOR robots to understand complex indoor environments.

• Develop computer vision and deep learning models for object detection, tracking, segmentation, depth estimation, scene reconstruction, and mapping.
• Implement multi-modal fusion between camera, LiDAR, depth sensors, and IMUs.
• Build real-time perception pipelines optimized for embedded GPUs (Jetson).
• Analyze sensor data and improve robustness in real-world conditions.
• Integrate perception modules with ROS / ROS 2.
• Conduct field testing on ROZOR robots.
• Collaborate with autonomy, embedded, and hardware teams.
• Maintain datasets, labeling workflows, and model training infrastructure.

• Bachelor's/Master's in Computer Vision, AI, Robotics, or related field.
• 2+ years building computer vision / perception systems.
• Python proficiency and deep learning framework experience.
• Image processing and multi-view geometry knowledge.
• Experience with detection / segmentation models (YOLO, Mask R-CNN, Deep Lab, DETR).
• ROS / ROS 2 and OpenCV familiarity.
• Real-time inference optimization ability.

Tell us why this role fits you and link any work like repos, papers, demos, or robots that shows what you build.

Apply via contact or email