Applied AI Engineer- ML for Manufacturing (Computational Design & Geometry Processing)

Foundation EGI is an MIT-born, venture-backed Silicon Valley startup focused on creating an AI Copilot for design and manufacturing. The role of Applied AI Engineer involves utilizing machine learning and geometry processing to solve real engineering problems, particularly in working with 2D and 3D data from CAD, CAE, and CAM systems.

Responsibilities:

• Design, develop, and maintain geometry processing and simulation algorithms for engineering applications
• Build services for reading, processing, and writing 2D/3D engineering data
• Develop rendering modules for generating 2D/3D visual assets
• Curate and manage large-scale datasets for learning-based systems
• Implement and optimize post-training workflows for machine learning models
• Contribute to the development of domain-specific languages for engineering tasks

Requirements:

• 5+ years of academic or industry experience in one or more of the following areas: Geometric Processing, Simulation, Optimization, Machine Learning, or Domain-Specific Languages
• BSc or MSc in Computer Science, Engineering, or a related field
• Proficient in writing clean, modular, and maintainable Python code
• Experience with dataset creation and data pipeline development
• PhD or MS with a focus in Computational Design, Simulation, or AI
• Experience developing CAD/CAM/CAE software tools
• Experience developing or fine-tuning large language models (LLMs), including post-training methods such as quantization, pruning, distillation, or reinforcement learning
• Experience designing or implementing DSLs or compilers