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Foundation EGI
Verified live 8h ago

Research Engineer - Geometry Processing

Brief overview

Remote
UndergradOr in progress
5+ yrsMinimum
1 H-1B approvalsDept. of Labor
Geometry processingSimulationOptimizationMachine LearningDomain-Specific LanguagesPythonDataset creationData pipeline developmentCAD/CAM/CAELarge language modelsQuantizationPruningDistillationReinforcement learningCompiler design

About the company

Foundation EGI logo
Foundation EGIfoundationegi.com

Meet the Al platform to Revolutionize Engineering. We started this company because manufacturing and engineering are overdue for a digital revolution.

Visa sponsorship history

1 year sponsoring, last filed FY2025

Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.
1H-1B approved
100%approval rate
1new H-1B hires
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20251

Job description

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.

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.
  • Bonus Points

  • 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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