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Foundation EGI
Foundation EGI

Computational Design Research Engineer

Full-Time
Remote
$100,000 – $140,000 per year

TLDR

Bridge ML with engineering design by turning CAD/CAE/CAM data into AI-ready insights for practical design workflows.

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 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.
  • 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.

    • Benefits

    Equity Compensation

    Equity participation in the company's long-term success

    Free Meals & Snacks

    Fully funded company offsites and team gatherings

    Health Insurance

    Medical, dental and vision coverage

    Home Office Stipend

    Home office support and remote work resources

    Learning Budget

    Professional development and learning opportunities

    Paid Time Off

    Generous paid time off and company holidays

    Remote-Friendly

    Remote-first work environment

    Foundation EGI
    Foundation EGI

    Foundation EGI is a startup focused on developing an AI Copilot for the design and manufacturing industries. By harnessing advanced AI, physics simulation, and computer graphics, we aim to streamline the entire product development process, enhance engineering productivity, and cut costs.

    View company profile
    Research Engineer