(Senior) Software Engineer (m/f) 80–100%

ML-based Mechanical Simulation

To further improve the efficiency of computationally demanding assembly simulations, we are developing machine-learning-based (ML) methods to accelerate computationally intensive mechanical simulations. To support this development, we are looking for a software engineer with a solid background in numerical simulation, computational geometry, and machine learning in mechanics. This is a hands-on engineering role at the intersection of finite element (FE) simulation, ML-based modeling, and production-quality software engineering.

Your tasks

As a (Senior) Software Engineer – ML-based Mechanical Simulation, you will:

Extend and automate synthetic training and validation datasets

Optimize ML-models with respect to accuracy, robustness, generalization capability, and inference cost

Integrate ML inference into FE solver towards production-ready industrial software solution

Work closely with experts in BiW, simulation technology, software engineering and machine learning in an agile SCRUM-based setup

Your profile

We’re looking for someone with the following background and mindset:

Degree or doctorate in computer science, engineering, computational mechanics, applied mathematics, physics, or a related natural science

Extensive experience applying machine learning methods to mechanical or physical simulation problems

Solid understanding of numerical methods for engineering applications

Practical experience with computational geometry, including efficient geometric and topological algorithms

Strong programming skills in Python and C/C++

Confidence to work with large code bases and to develop robust, maintainable software components

Team player with a strong commitment to problem solving and collaboration

Fluent English required; German is a plus

Our offer

A challenging role in a respectful and global working environment

Being part of a world-leading, high-end CAE software company

Working on cutting edge technologies for the automotive industry

The opportunity to contribute directly to ML-supported simulation of complex engineering problems

Professional development and continuous education

Excellent balance between your working life and your private life through flexible home office and flexible working hours

Start of work is 1st October 2026. Please note that we only consider applicants that have the legal right to work in the respective location. We will only consider direct applications. Please send us your CV and attachments. We are looking forward to receiving your application.