• Design and implement generative AI models for automated building design, including floor plan generation, facade design, and structural optimization using state-of-the-art architectures (diffusion models, transformers, GANs). • Develop computer vision pipelines for design and drawing analysis using modern frameworks like YOLO, SAM, and NeRF-based 3D reconstruction. • Build graph neural networks and geometric deep learning models for structural analysis and MEP (Mechanical, Electrical, Plumbing) system optimization. • Create reinforcement learning systems for multi-objective building optimization (energy efficiency, cost, occupant comfort, sustainability metrics). • Integrate AI models with industry-standard BIM tools (Revit, Rhino/Grasshopper) through custom APIs and plugins. • Deploy production ML pipelines using modern MLOps practices, including experiment tracking (Weights & Biases, MLflow), model versioning, and A/B testing frameworks. • Implement physics-informed neural networks for building performance simulation and predictive modeling. • Collaborate with architects and engineers to ensure AI systems produce practical, code-compliant, and constructible designs. • Lead research initiatives and publish findings to establish us as a thought leader in AEC AI innovation.

• Design, develop, and implement cloud infrastructure solutions, ensuring high availability, scalability, and security. • Write clean, efficient, and well-documented infrastructure code using Terraform, CloudFormation, or other IaC tools. • Collaborate with cross-functional teams to design and integrate infrastructure solutions that support software development and deployment. • Work closely with external stakeholders, including customers, to understand requirements, conduct system testing, and implement necessary improvements. • Optimize system performance, monitor infrastructure health, and ensure robust, reliable operations. • Debug and troubleshoot system issues, identifying and implementing effective solutions.

• Build map and spatial analytics features used by mission teams. • Develop TypeScript/Python services and deliver 2D/3D UX. • Ensure offline-ready experiences across connected and disconnected environments. • Ship React/TypeScript map workspace features (layers, annotations, timelines, overlays). • Build APIs integrating PostGIS, geoprocessing services, and vector/3D tiles. • Optimize performance for large datasets and offline workflows (tiling, caching, packaging). • Instrument telemetry, tests, and join on-call rotations for spatial services. • Collaborate with designers, analysts, and data engineers to iterate quickly on user feedback.

• Contribute to the design, development, and maintenance of high-quality software solutions • Write clean, efficient code and participate in code reviews • Analyze code and identify bugs, using logical reasoning to resolve issues • Deliver high-quality code, identify and address potential issues, and test application performance • Collaborate with cross-functional teams to gather requirements and implement solutions • Mentor junior developers, providing guidance on best practices and development processes