About this role

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.

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.
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.

Applied AI Engineer – ML for Manufacturing, Computational Design, Geometry Processing

Key skills