About the OpportunityOur client is building a new generation of AI-enabled engineering software combining artificial intelligence, computational geometry, CAE and physics-based engineering technologies.The company is looking for a highly experienced AI Software Engineer specialising in multimodal models for 3D geometry, CAD and mesh representations.This is a hands-on software and algorithm development role focused on building production-grade AI technologies capable of understanding, representing and generating complex engineering geometry.The successful candidate will work at the intersection of multimodal foundation models, geometric deep learning, CAD/CAE geometry, mesh representations and engineering software development.

• ResponsibilitiesDesign and develop multimodal AI models capable of understanding and processing engineering geometry.
• Develop models combining different engineering data modalities including:
• CAD geometry
• B-Rep / boundary representations
• surface and volume meshes
• point clouds
• images and sketches
• text and engineering metadata
• simulation and physics data
• Develop scalable representations and embeddings for complex 3D engineering geometry.
• Develop geometry encoders and tokenisation strategies suitable for large-scale multimodal models.
• Develop transformer, graph-based, generative or foundation-model architectures for 3D engineering data.
• Develop models for geometry understanding, generation, reconstruction, modification and reasoning.
• Develop AI capabilities for mesh generation, mesh understanding and geometry-to-mesh workflows.
• Integrate AI models into production engineering software products and CAE/CAD workflows.
• Develop robust training, inference and evaluation pipelines.
• Optimise models for large engineering datasets and production deployment.
• Work closely with computational geometry, CAE, meshing and HPC software teams.
• Translate state-of-the-art AI research into reliable and scalable industrial software.
• Contribute to technical architecture and long-term product strategy for geometry-based AI technologies.

• RequirementsMSc or PhD in Computer Science, Artificial Intelligence, Machine Learning, Computational Geometry, Applied Mathematics or a related discipline.
• Strong hands-on software development experience in AI/ML.
• Excellent programming skills in Python, with strong software engineering fundamentals.
• Experience with PyTorch or another major deep learning framework.
• Strong experience in one or more of the following:
• multimodal learning
• foundation models
• transformers
• generative models
• geometric deep learning
• 3D machine learning
• graph neural networks
• representation learning
• Experience working with 3D data such as meshes, CAD geometry, B-Rep, point clouds or surface representations.
• Strong understanding of modern deep learning architectures and model training methodologies.
• Ability to translate research concepts into robust production software.
•