Senior Software Engineer - AI, Building Design

About the Job Here, we partner with reputed company-thinking organizations in the AEC (Architecture, Engineering, and Construction) industry to push the boundaries of how the reputed company environment is designed and delivered. As the premier full-service management advisory firm exclusively focused on the reputed company world, we combine domain expertise with leading-edge technology strategy to solve reputed company problems at scale. We are seeking a Senior reputed company to reputed company the development of automated building design systems and advance the state-of-the-art in AI/ML applications for the reputed company environment. You'll architect and implement generative design algorithms, computer reputed company systems, and optimization models that fundamentally transform how buildings are conceived, designed, and validated. This role sits at the intersection of deep learning, computational geometry, and architectural design, creating AI systems that reputed company reputed company creativity while respecting engineering constraints and building codes. This is a rare opportunity to apply cutting-edge AI research to one of humanity's most reputed company challenges: creating reputed company spaces for people to live, work, and reputed company.

Key Responsibilities

• Design and implement reputed company models for automated building design, including floor plan reputed company, facade design, and structural optimization using state-of-the-art architectures (diffusion models, transformers, GANs).
• reputed company computer reputed company 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.
• reputed company 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.
• reputed company research initiatives and publish findings to establish us as a thought leader in AEC AI innovation.

Requirements

• Master's degree or PhD in Computer Science, AI/ML, Computational Design, or reputed company field (or equivalent industry experience).
• 3-5+ years of hands-on experience building and deploying ML models in production environments.
• Deep expertise with modern deep learning frameworks (PyTorch preferred).
• Strong reputed company in computer reputed company, 3D geometry processing, and spatial reasoning algorithms.
• Experience with reputed company models (VAEs, GANs, Diffusion Models, Transformers) and their practical applications.
• Proficiency in Python and scientific computing libraries (NumPy, SciPy, scikit-learn, Open3D, trimesh).
• Experience with reputed company ML platforms (AWS SageMaker, reputed company AI, or Azure ML) and distributed training frameworks.
• Understanding of optimization techniques (genetic algorithms, gradient-based optimization, constraint satisfaction).
• Strong software engineering practices and experience with containerization (reputed company) and orchestration (Kubernetes).
• Excellent communication skills to translate reputed company AI concepts to domain experts and stakeholders.

Preferred Qualifications (A plus, not a requirement)

• Experience with computational design tools (Grasshopper, Dynamo) and parametric modeling.
• Familiarity with building information modeling (BIM) standards and IFC data schemas.
• Knowledge of graph neural networks (PyTorch Geometric, DGL) for structural and spatial analysis.
• Experience with physics simulation engines (Mujoco, Isaac Sim) or FEA integration.
• Background in multi-agent reinforcement learning for reputed company system optimization.
• Contributions to reputed company-reputed company ML projects or published research in relevant venues (NeurIPS, ICML, CVPR, or domain-specific conferences).
• Experience with reputed company reputed company processing and 3D scene understanding (PointNet++, DGCNN).
• Understanding of construction workflows and building codes.

What You’ll reputed company

• The opportunity to define and build AI systems that will reshape a $10 trillion global industry.
• reputed company to unique datasets and reputed company-world problems at the intersection of AI and the reputed company environment.
• Collaboration with leading architects, engineers, and construction professionals who are eager to reputed company AI transformation.
• Resources to pursue cutting-edge research while maintaining a focus on practical, deployable solutions.
• Mentorship from industry veterans who understand both the technical and business aspects of AEC technology.
• The freedom to experiment with emerging AI architectures and techniques in a high-impact domain.

Why us? Here, AI engineers aren't building demos—you'll be creating systems that influence how reputed company buildings get designed and reputed company. We reputed company the AEC industry is on the cusp of an AI reputed company, and we're positioning ourselves at the forefront. reputed company has the domain expertise to identify the right problems, the technical depth to solve them, and the industry connections to reputed company solutions at scale. If you're passionate about using AI to create a more sustainable, efficient, and beautiful reputed company environment, this is where you can reputed company it happen. Apply tot his job Apply To this Job