Foundation EGI is an MIT-born, venture-backed Silicon Valley startup building a real-life 'Jarvis'. This role involves working with machine learning applied to engineering problems, focusing on geometry processing and simulation algorithms for design and manufacturing.
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
Requirements:
- MUST have experience with Code Development
- 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
- 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
- PhD or MS with a focus in Computational Design, Simulation, or AI