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

Myjob; Zürich; Hybrid; CHF 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

Global environment

Leading CAE company

Flexible home office hours

Cutting-edge automotive tech

Zusammenfassung

Myjob in Zürich is seeking a (Senior) Software Engineer – ML-based Mechanical Simulation to advance ML-accelerated FE simulations. You will work at the intersection of finite element modeling, machine learning, and production-quality software engineering.

You bring a PhD or equivalent, strong Python and C/C++, and experience in ML for mechanical simulations. The role offers flexible home office, collaboration with experts, and a path to impact automotive software.

Qualifikationen

• PhD 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.

Aufgaben

• 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.

Kenntnisse

Python

C/C++

Numerical methods

Computational geometry

Machine learning

FE simulation

Team player

English (Fluent)

Ausbildung

PhD or Masters in CS/Engineering/Computational mechanics

Jobbeschreibung

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.

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