--- title: 'Senior AI - Computer Vision Engineer at XYZ Reality' canonical: 'https://feeny.ai/job/senior-ai-computer-vision-engineer-xyz-reality-calgary-jbtxmky7j67j' type: 'job' last_seen: '2026-09-23' --- # Senior AI - Computer Vision Engineer at XYZ Reality - **Company:** [XYZ Reality](https://feeny.ai/companies/xyz-reality) - **Location:** Calgary, Canada - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-08-19 - **Last confirmed live:** 2026-09-23 - **Apply:** https://jobs.ashbyhq.com/xyz-reality/d8bf465c-bf7f-4337-871f-ee6c54fce6bd ## Job description Senior AI / Computer Vision Engineer Build the spatial AI behind the future of construction At [XYZ Reality](https://www.xyzreality.com), we’ve created the world’s first engineering-grade Augmented Reality solution for construction. Our technology is already being used on major construction projects around the world to help teams build more accurately, efficiently and with fewer mistakes. Now, we’re taking that technology even further. We’re developing the next generation of wearable AI systems, combining computer vision, localisation, BIM understanding, semantic reasoning and augmented reality to create a Construction Intelligence platform capable of understanding what has been built, where it has been built and whether it has been installed correctly. As a Series B business entering our next phase of growth, we’re investing further in our R&D capability and building out a technology hub in Calgary, Canada. We’re looking for a Senior AI / Computer Vision Engineer with deep expertise in 3D computer vision and spatial AI to join the team and help develop the next generation of perception technology behind our products. ## The Role This is an opportunity to solve computer vision problems that exist at the intersection of the digital and physical world. You’ll develop the perception and scene-understanding systems that enable our wearable technology to recognise construction objects, understand complex 3D environments, interpret BIM models, assess installation progress and identify quality issues using real-world sensor data. For this role, 3D / spatial computer vision expertise is fundamental. We’re looking for someone who understands how AI and computer vision can reason about physical space – not simply someone with broader AI or machine learning experience. You’ll work across research, algorithm development, optimisation, deployment and productisation, taking sophisticated computer vision techniques and turning them into robust technology capable of performing on active construction sites. You’ll bring senior technical expertise to the team as we build our capability and presence in Calgary. You’ll also collaborate closely with our Navigation, Embedded Software, Hardware and Product teams across the wider business. This is a role where you can combine deep technical work with real-world impact – seeing the algorithms and systems you develop ultimately deployed through wearable technology on some of the world's most complex construction projects. ## What You’ll Be Doing - 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 recognising 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 localisation-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. - Optimise models for embedded deployment, improving inference speed, accuracy and robustness. - Deploy and optimise 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. ## What We’re Looking For - 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. What matters most for this role is genuine depth in 3D / spatial computer vision and the ability to apply that expertise to complex, real-world engineering problems. We’re particularly interested in someone who is curious about where computer vision and AI are heading, but who also has the practical engineering mindset to turn emerging research into technology that works reliably outside of the lab. ## What You Could Be Working On From the outset, you’ll have the opportunity to contribute to some of our highest-priority R&D initiatives, including: - 3D construction scene understanding - Construction semantic segmentation - Automated BIM understanding and object correspondence - AI-assisted construction progress capture - Spatial reasoning across wearable sensor data - Embedded AI deployment on NVIDIA Jetson - Foundation models for construction understanding - Next-generation wearable AI perception systems ## Why Join Us - 🚀 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 If you’re passionate about 3D computer vision and spatial AI, enjoy solving difficult problems at the intersection of research and engineering, and want to see your work move from algorithms into technology being used in the physical world, we’d love to hear from you. ## About XYZ Reality ## Company Overview - **One-liner**: XYZ Reality provides a construction delivery platform that combines engineering-grade augmented reality with real-time project controls to help teams plan, build, and deliver mission-critical projects with reduced risk and rework. - **Entity Type**: Private (Series A/B stage; total funding of $37M) - **Headquarters**: London, United Kingdom - **Founded**: 2017 - **Founders**: David Mitchell (former architect, son of a builder) ## Core Business - Primary industry/industries: Construction technology (ConTech), Augmented Reality (AR), Project Management Software - Target customers: B2B — Enterprise; specifically asset owners, general contractors, specialty contractors, and developers in mission-critical sectors (data centers, pharmaceuticals, airports, hydrogen plants) - Mission or purpose statement: "Build it right, first time" — eliminating rework and transforming how mission-critical projects are planned, built, and delivered. ## Products & Services For each major offering: - **XYZ Construction Delivery Platform**: An all-in-one SaaS platform combining real-time project controls, progress tracking, and quality assurance for construction portfolios. - **Atom AR Headset**: The world’s most accurate engineering-grade augmented reality headset, enabling teams to view and position BIM holograms on-site to 5mm accuracy for real-time validation and clash detection. - **Project Controls Module**: Software for tracking progress, managing resources, and gaining real-time visibility into onsite activities to mitigate delays. - **Offsite Prefab Module**: Validation tool for prefabricated components before they leave the warehouse, ensuring accuracy and reducing rework. - **Quality Control Module**: On-site QA tool that catches errors and clashes early using objective, instant data from the field. ## Market Standing - **Valuation/Market Cap**: Not publicly available (private company) - **Key Metric**: Total funding of $37M across 6 rounds; annual revenue estimated at $1.4M (LinkedIn estimate) - **Notable Investors/Partners**: Not disclosed in public sources, but the company has delivered over $14B in combined project value for clients including global data center developers. - **Growth Signals**: 120 employees (+7.1% YoY); operates in 19 countries (UK, US, India, Canada, Spain, Ireland, and more); LinkedIn followers grew 17.6% year-over-year to 29,010; reported saving a client 408 days and $135M across seven hyperscale data center projects. ## Competitive Advantages - **Engineering-Grade AR**: The Atom headset provides 5mm accuracy for BIM holograms, a level of precision unmatched by consumer AR headsets. - **Real-Time Objective Data**: Replaces subjective progress reports with irrefutable field data, enabling proactive decision-making and de-risking construction lifecycles. - **Proven ROI**: Documented case studies showing massive cost and time savings (e.g., 408 days saved, $135M+ in rework costs avoided, 10x ROI for a global data center developer). - **End-to-End Platform**: Combines hardware (AR headset) with software (project controls, quality, prefab) in a single managed service, creating a sticky ecosystem. ## Strategic Focus - Current priorities and direction for growth: Accelerating delivery of mission-critical projects (especially data centers, pharma, and airports); expanding global footprint (already in 19 countries); deepening portfolio-level intelligence for large developers; continuing to innovate on AR hardware and software integration to eliminate rework and reduce time-to-market for clients. ## Why Work Here - Culture highlights: Startup culture where "everyone rolls their sleeves up and gets stuck in"; values innovation, drive, and disruption; strong emphasis on team building and wellbeing. - Remote/hybrid/office policy: Flexible, hybrid, and remote working options available across many positions. - Notable perks: 5 weeks holiday plus additional Christmas days; health cover; wellbeing programs; regular team events; opportunity to work with cutting-edge AR technology and make a tangible impact on the construction industry. - Engineering culture: Opportunity to work on revolutionary AR hardware (Atom headset) and a full-stack SaaS platform; solving real-world problems for massive construction projects. ## Sources 1. [xyzreality.com](https://www.xyzreality.com/) 2. [xyzreality.com/about-xyz-reality](https://www.xyzreality.com/about-xyz-reality) 3. [xyzreality.com/join-the-team](https://www.xyzreality.com/join-the-team) 4. [linkedin.com/company/xyz-reality](https://uk.linkedin.com/company/xyz-reality) 5. [builtin.com/company/xyz-reality](https://builtin.com/company/xyz-reality) ## Other roles at XYZ Reality - [Head of Customer Success, US](https://feeny.ai/job/head-of-customer-success-us-xyz-reality-united-states-ktj2j41k9sqf) — United States - [Senior DevOps Engineer](https://feeny.ai/job/senior-devops-engineer-xyz-reality-london-9nqn8s8ae2ax) — London, United Kingdom - [VDC Manager](https://feeny.ai/job/vdc-manager-xyz-reality-united-states-re8c2d3mnvj6) — United States - [TA Systems Administrator](https://feeny.ai/job/ta-systems-administrator-xyz-reality-london-5sz9k173pxs8) — London, United Kingdom - [Talent Acquisition Partner - Technology](https://feeny.ai/job/talent-acquisition-partner-technology-xyz-reality-london-why2e1ny6btt) — London, United Kingdom - [Senior Talent Acquisition Partner – Strategic Sales](https://feeny.ai/job/senior-talent-acquisition-partner-strategic-sales-xyz-reality-austin-btvcrd8zck1g) — Austin, TX - [ERP Administrator](https://feeny.ai/job/erp-administrator-xyz-reality-reading-k6khy495ypq4) — Reading, United Kingdom - [Senior Production Engineer](https://feeny.ai/job/senior-production-engineer-xyz-reality-reading-anc0yzk7qcyt) — Reading, United Kingdom - [Production Assembly & Test Engineer](https://feeny.ai/job/production-assembly-test-engineer-xyz-reality-reading-g07h8v4y3vfp) — Reading, United Kingdom - [Procurement Manager](https://feeny.ai/job/procurement-manager-xyz-reality-reading-j2w6tf4190pn) — Reading, United Kingdom