What is the salary for this Research Engineer - Computational Design role?

Salary information is not publicly listed for this position. Apply directly to discuss compensation with Foundation EGI.

Is this Research Engineer - Computational Design position remote?

Yes, this is a fully remote position. You can work from anywhere.

How do I apply for this Research Engineer - Computational Design job at Foundation EGI?

Click the 'Apply' button on this page to be redirected to Foundation EGI's application portal. Make sure to have your resume ready and tailor your application to highlight relevant experience.

What is Foundation EGI?

Foundation EGI is actively hiring for Engineering roles. Visit the company page to see all open positions and learn more about working at Foundation EGI.

Research Engineer - Computational Design

Foundation EGI Remote Today

engineering

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.