Computational Design Research Engineer

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

REQUIRED: MUST have experience with Code Development + Computational Design and/or Geometry Processing. Applicants will not be considered without this experience.

About Us:

We are an MIT-born, venture-backed Silicon Valley startup building a real-life 'Jarvis'. An AI Copilot for design and manufacturing. Our goal is to utilize advanced AI, physics simulation, and computer graphics to reduce costs and improve engineering productivity across all steps of the design and manufacturing process.

On this Role:

This role blends machine learning with real engineering problems, working with 2D and 3D data from CAD, CAE, and CAM systems. A big part of the work is turning complex geometry, design workflows, and simulation data into representations an AI system can understand and use.

We’re looking for someone who is technically strong, especially in Python and ML, with curiosity about how things are designed and built in the real world. You may come from a research background or industry, but you should be comfortable moving between theory and practical application. If you’ve spent time around mechanical systems or engineering design, that’s a big plus because this role bridges advanced models and how engineers work day to day.

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.

What we are looking for

• 5+ years of academic or industry experience in Geometric Processing, Simulation, Optimization, Machine Learning, or Domain-Specific Languages.
• 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.

Salary: $100,000 - $140,000 per year

This range represents base compensation only and is intended to provide flexibility for candidates with varying levels of experience, expertise and demonstrated impact. Final compensation will be determined based on factors including skills, experience, location, and overall alignment with the role.

In addition to base salary, eligible employees may receive:

• Equity participation in the company's long-term success
• Comprehensive benefits including medical, dental, and vision coverage
• Retirement savings benefits
• Generous paid time off and company holidays
• Remote-first work environment
• Fully funded company offsites and team gatherings
• Professional development and learning opportunities
• Home office support and remote work resources

We believe compensation should grow alongside impact. Our salary ranges are designed to provide room for career progression and continued growth within Foundation EGI.