Computational Design Research Engineer
Summary
Research engineer builds AI-driven geometry processing and simulation tools for engineering workflows, using Python, ML, and CAD/CAE/CAM data pipelines.
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.
Skills
As published by lever · 10 questions · 4 written answers
Basics
Which location are you applying for?, Resume/CV, Full name, Email, Phone, Current location, Current company, LinkedIn URL, Twitter URL, GitHub URL, Portfolio URL, Foundation LLM Technologies
Pick from a list (6)
- Do you have experience in Computational Design?
- Do you have experience in Geometry Processing
- Can you write maintainable code in Python?
- Have you worked with 2D/3D data (e.g., meshes, point clouds, CAD models, or simulation data)?
- Do you have a degree/studies in Computational Design or Geometry Processing ?
- Do you have a degree in Artificial Intelligence?
Written answers (4)
- Have you implemented or worked with simulation or geometry-processing algorithms? If yes, give one example.
- Have you built or extended tools in CAD, CAE, or CAM environments? If yes, briefly explain.
- Describe the most technically challenging geometry, simulation or computational design problem you personally solved.
- Please paste your LinkedIn Profile