Senior AI - Computer Vision Engineer
XYZ Reality2 months ago
Calgary, CanadaSenior
Responsibilities
- Develop advanced computer vision algorithms for construction scene understanding and spatial intelligence.
- Design, train, and evaluate semantic segmentation, object detection, instance segmentation, and large-scale deep learning models.
- Build systems for 3D environment understanding, spatial reasoning, BIM correspondence, object matching, installation-state recognition, construction progress, and quality assessment.
- Use RGB, stereo, depth cameras, SLAM, BIM, and other wearable sensor data to develop perception systems.
- Explore Gaussian Splatting, NeRFs, foundation models, multimodal AI, and modern computer vision techniques.
- Develop supervised, self-supervised, and semi-supervised learning data pipelines.
- Optimize and deploy models on NVIDIA Jetson using TensorRT, CUDA, and ONNX.
- Build production inference pipelines and benchmark latency, accuracy, robustness, and inference speed.
- Improve localization-assisted perception across varied lighting, weather, and construction-site conditions.
- Contribute to architecture, design reviews, R&D roadmap decisions, knowledge sharing, and engineer mentoring.
Requirements
- At least 5 years of industrial experience in computer vision.
- MSc or PhD in Computer Vision, AI, Robotics, Computer Science, or a related discipline.
- Deep expertise in 3D computer vision and spatial AI.
- 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, modern computer vision architectures, large-scale deep learning models, and large image datasets.
- Strong mathematical foundations in machine learning and computer vision.
- Ability to bridge research and production engineering and develop robust, deployable products.
- Strong debugging, problem-solving, collaboration, and multidisciplinary engineering skills.
Benefits
- Work at the intersection of spatial AI, 3D computer vision, augmented reality, and real-world engineering.
- Develop AI for physical wearable technology and see it deployed on major construction projects.
- Join a Series B company during international growth and contribute to technical architecture and R&D direction.
- Collaborate with specialists in computer vision, AI, navigation, embedded software, and hardware.
- Build technology with tangible real-world impact in a Calgary technology hub.
Categories
About XYZ Reality
XYZ Reality builds engineering-grade augmented reality for construction, combining its Atom hardhat/headset with a project controls platform that overlays BIM models on site for QA/QC, progress tracking, and issue resolution. The company sells to developers and contractors, particularly in data center and other mission‑critical projects, and also provides on‑site implementation. Founded in 2017 and headquartered in London, it is a privately held business.