ML-Driven Geometry Engineer for CAD/CAE & Simulation

Foundation EGI; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Foundation EGI is a MIT-born, venture-backed Silicon Valley startup building a real-life ‘Jarvis’. An AI Copilot for design and manufacturing.

This role blends machine learning with practical engineering problems, handling 2D/3D CAD/CAE data and turning complex geometry and simulation data into usable AI features. You will work across theory and real-world application, bridging advanced models with how engineers actually design and manufacture.

Qualifications

• 5+ years of academic or industry experience in 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) with post-training methods such as quantization, pruning, distillation, or reinforcement learning.
• Experience designing or implementing DSLs or compilers.

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.

Skills

Python

Machine Learning

Geometric Processing

Simulation

Optimization

Domain-Specific Languages

Education

BSc or MSc in Computer Science, Engineering, or a related field

PhD or MS with a focus in Computational Design, Simulation, or AI

Tools

CAD/CAE software tools

Data pipeline development

Job description

Foundation EGI is a MIT-born, venture-backed Silicon Valley startup building a real-life ‘Jarvis’. An AI Copilot for design and manufacturing.

This role blends machine learning with practical engineering problems, handling 2D/3D CAD/CAE data and turning complex geometry and simulation data into usable AI features. You will work across theory and real-world application, bridging advanced models with how engineers actually design and manufacture.