Senior AI - Computer Vision Engineer

XYZ Reality

3d

About The Position

XYZ Reality has developed the world's first engineering-grade Augmented Reality solution for construction, used on major projects globally to enhance accuracy and efficiency. The company is advancing this technology by developing next-generation wearable AI systems that integrate computer vision, localization, BIM understanding, semantic reasoning, and augmented reality. This creates a Construction Intelligence platform capable of analyzing built structures, their locations, and installation correctness. As a Series B company entering a growth phase, XYZ Reality is expanding its R&D capabilities and establishing a technology hub in Calgary, Canada. They are seeking a Senior AI / Computer Vision Engineer with deep expertise in 3D computer vision and spatial AI to contribute to the development of their product's perception technology.

Requirements

• 5+ years’ industrial experience in Computer Vision, with strong hands-on experience solving complex technical problems.
• MSc or PhD in Computer Vision, AI, Robotics, Computer Science or a related discipline.
• Deep expertise in 3D Computer Vision / Spatial AI, this is a core requirement for the role.
• Strong understanding of geometry, spatial relationships and scene understanding.
• Experience developing and deploying computer vision and deep learning systems in production.
• Strong Python development skills and expert knowledge of PyTorch.
• Experience with semantic segmentation, object detection, image understanding and modern computer vision architectures.
• Experience designing and training large-scale deep learning models and working with large image datasets.
• Strong mathematical foundations in machine learning and computer vision.
• Ability to bridge research and production engineering, comfortable exploring emerging techniques while remaining focused on building robust, deployable products.
• Strong debugging and problem-solving skills and the ability to work through complex, ambiguous technical challenges.
• A collaborative approach and the ability to work effectively across multidisciplinary engineering teams.

Nice To Haves

• Genuine depth in 3D / spatial computer vision and the ability to apply that expertise to complex, real-world engineering problems.
• Curiosity about the future of computer vision and AI, combined with a practical engineering mindset to turn emerging research into reliable technology.
• Experience with SLAM.
• Experience with Gaussian Splatting and NeRFs.
• Experience with NVIDIA Jetson platforms, TensorRT, CUDA, and ONNX.

Responsibilities

• Develop advanced computer vision algorithms for construction scene understanding and spatial intelligence.
• Design and develop semantic segmentation, object detection and instance segmentation models.
• Build algorithms capable of understanding 3D environments, spatial relationships and physical geometry.
• Develop automated BIM correspondence and object-matching capabilities.
• Create perception systems capable of recognizing installation state, construction progress and potential quality issues.
• Develop algorithms using RGB, stereo, depth cameras and other wearable sensor data.
• Combine AI, 3D vision, SLAM and BIM to develop geometric and spatial reasoning capabilities.
• Explore emerging scene representation techniques including Gaussian Splatting and NeRFs.
• Improve localization-assisted perception and robustness across varying lighting, weather and real-world site conditions.
• Design, train and evaluate large-scale deep learning models.
• Develop data pipelines supporting supervised, self-supervised and semi-supervised learning.
• Evaluate emerging foundation models, multimodal AI and modern computer vision techniques where they can add meaningful value.
• Optimize models for embedded deployment, improving inference speed, accuracy and robustness.
• Deploy and optimize models for NVIDIA Jetson platforms using technologies including TensorRT, CUDA and ONNX.
• Build and improve production inference pipelines, benchmarking performance, latency and accuracy.
• Contribute to technical architecture, design reviews and future R&D roadmap decisions.
• Share knowledge and mentor other engineers as the team continues to grow.

Benefits

• Work at the intersection of Spatial AI, 3D Computer Vision, AR and real-world engineering
• Solve genuinely difficult perception and scene-understanding problems
• Develop AI that ultimately runs through physical, wearable technology – not just software on a screen
• See your work applied to some of the world’s most ambitious construction projects
• Join a Series B business at an exciting stage of international growth
• Work alongside specialists across Computer Vision, AI, Navigation, Embedded Software and Hardware
• Have meaningful influence over technical architecture and the future direction of our perception technology
• Build technology with tangible, real-world impact

What This Job Offers

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