About the role

What will you do at Foundation EGI?

REQUIRED: MUST have experience with Code Development. 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 is a mix of a few worlds coming together. You’ll be working with

machine learning but not in a vacuum it’s applied to real engineering problems,

working with 2D and 3D data from CAD, CAE, and CAM systems. A big part of the

work is taking complex geometry, design workflows, and simulation data and

figuring out how to turn that into something an AI system can actually

understand and use.

We’re looking for someone who’s strong technically, especially in Python and ML,

but also has the curiosity to dig into how things are designed and built in the

real world. You might come from a research background or industry but either way

you’re comfortable moving between theory and practical application. If you’ve

spent time around mechanical systems or engineering design, that’s a big plus,

because a lot of this role is about bridging that gap between advanced models

and how engineers actually 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 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.
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$100,000 - $140,000 a 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 package 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
intentionally designed to provide room for career progression, increased scope
of responsibility and continued growth within Foundation EGI.
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Which skills does this role require?

LLM Fine-tuningCompilersLLMAI Copilot2D Data3D DataData PipelinesEngineering ProductivityPhysics SimulationComputer Graphics

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