Jobs at XYZ Reality

Own client relationships across construction projects, drive adoption of an augmented reality platform on active sites, translate field performance into business value, identify and resolve adoption risks, support retention and expansion, and relay client feedback to internal teams. The role requires deep construction delivery experience in Electrical Engineering, CSA, Project Controls, or Commissioning, strong stakeholder communication, and extensive travel to project sites.

Own client relationships across active construction projects, drive on-site adoption of the XYZ platform, and translate field performance into business value for senior stakeholders. Identify adoption and satisfaction risks, coordinate issue resolution, support account retention and expansion, and relay client feedback to shape the product and service. The role requires extensive travel to construction sites and strong construction delivery experience in Electrical Engineering, CSA, Project Controls, or Commissioning.

Provides proactive executive and administrative support to Strategic Account Executives in Austin. Responsibilities include managing complex calendars across time zones, booking domestic and international travel, preparing itineraries, processing expenses, creating meeting materials, maintaining Salesforce records, coordinating contracts and collateral, and supporting cross-functional requests. The role requires strong organization, communication, discretion, proactive problem-solving, and regular in-office presence.

Own end-to-end international hiring for business and leadership roles across HR, Finance, Legal, Marketing, and Commercial functions. Responsibilities include direct sourcing, headhunting, stakeholder partnership, hiring-manager coaching, offer negotiation, candidate experience, market mapping, and improving recruitment processes through data. The role supports global growth across the UK, US, and Europe in a hybrid London-based Series B construction technology company.

Develop advanced 3D computer vision and spatial AI systems for construction-site scene understanding. Build segmentation, detection, BIM correspondence, sensor fusion, SLAM, and spatial reasoning algorithms; train and evaluate deep learning models; create data and inference pipelines; and optimize models for embedded GPU deployment. The role bridges research and production engineering, contributes to technical architecture, and mentors engineers developing wearable AR perception technology.

Develop and integrate autonomous robots for construction environments. Responsibilities include ROS/ROS 2 integration, robot control, navigation, path planning, localisation, sensor and capture-payload integration, simulation-based policy training, hardware validation, and rigorous mission testing. The role is hands-on and focused on robot software, algorithmic control, and physical robot systems.

Own and evolve Azure cloud infrastructure, Kubernetes clusters, Infrastructure-as-Code, CI/CD pipelines, observability, security, reliability, disaster recovery, and developer tooling. Partner with engineering and data teams to support databases, data pipelines, and AI/ML deployments. Improve self-service capabilities, incident response, automation, and production troubleshooting while enabling scalable and secure deployments.

Own the ERP replacement and business systems supporting production, quality, procurement, and logistics. Responsibilities include requirements gathering, vendor selection, configuration, data migration, testing, go-live, process mapping, integrations, serial-level traceability, engineering change control, ISO 9001 records, production reporting, and process automation. The role requires manufacturing systems expertise, strong data migration and integration skills, advanced Excel, and the ability to independently deliver large-scale process improvements.

Support on-site delivery by tracking construction progress against BIM models using an AR headset, performing quality inspections, raising and submitting QA issues daily, maintaining data accuracy and reporting, collaborating with site engineers, and supporting the Lead Engineer while receiving mentorship and training.

Deliver on-site AR-enabled construction services: track progress against BIM models using the Atom headset, perform daily quality inspections, raise and submit QA issues via the XYZ platform, maintain data accuracy, and support the Lead Engineer across major construction projects.

Build scalable infrastructure for machine learning training, deployment, monitoring, retraining, and continual learning. Responsibilities include distributed training pipelines, dataset and annotation workflows, experiment tracking, model versioning, benchmarking, CI/CD, cloud-to-edge deployment, inference APIs, and embedded NVIDIA platform optimization. The role collaborates with computer vision, navigation, embedded software, and cloud engineering teams to move AI research into reliable production systems.

Develop advanced 3D computer vision and spatial AI systems for wearable construction technology. Build scene understanding, segmentation, object detection, BIM correspondence, localization, and installation-progress models using multimodal sensor data. Design and train deep learning systems, optimize inference for NVIDIA Jetson using TensorRT, CUDA, and ONNX, and deploy robust production pipelines. Contribute to architecture and R&D strategy while mentoring engineers and collaborating across navigation, embedded software, hardware, and product teams.

Build and own internal business applications, dashboards, automations, integrations, and AI-enabled tools from architecture through deployment and ongoing maintenance. Use TypeScript, React, Next.js, Node.js, and modern serverless platforms to deliver secure, scalable solutions. Collaborate with non-technical stakeholders, implement authentication and data protection, integrate AI and third-party systems, monitor applications, and improve them using feedback and usage data.