Computational Design AI Engineer - Geometry & ML, Remote

Foundation EGI; Boston (MA); Remote; USD 100,000 - 140,000; Full time

Benefits offered by this job

Equity participation

Medical, dental, vision insurance

Retirement savings

Generous PTO and holidays

Remote-first work environment

Fully funded offsites

Professional development

Home office support

Job summary

Foundation EGI is a MIT-born, venture-backed startup building an AI Copilot for design and manufacturing. The role blends machine learning with real engineering problems, handling 2D/3D data from CAD, CAE, and CAM systems to create representations an AI system can use.

You will design geometry processing, data pipelines, and rendering modules while curating large datasets and refining post-training ML workflows.

Qualifications

• 5+ years of academic or industry experience in Geometric Processing, Simulation, Optimization, Machine Learning, or Domain-Specific Languages.
• Proficient in writing clean, modular Python code and data pipelines.
• Experience developing CAD/CAM/CAE software tools and ML-enabled design workflows.
• PhD or MS with focus in Computational Design, Simulation, or AI.

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

Geometric processing

Machine learning

CAD/CAM/CAE tools

Data pipeline

DSLs/compilers

Education

PhD or MS in Computational Design/Simulation/AI

Tools

DSLs

Compilers

Job description

Foundation EGI is a MIT-born, venture-backed startup building an AI Copilot for design and manufacturing. The role blends machine learning with real engineering problems, handling 2D/3D data from CAD, CAE, and CAM systems to create representations an AI system can use.

You will design geometry processing, data pipelines, and rendering modules while curating large datasets and refining post-training ML workflows.