(Senior) Software Engineer (m/f) 80–100% - ML-based Mechanical Simulation

Successful with AutoForm!
AutoForm offers software solutions for sheet metal forming and BiW assembly process. With over 500 employees dedicated to this field, AutoForm is recognized as the leading provider of software for product manufacturability, tool and material cost calculation, die face design and virtual stamping as well as BiW assembly process optimization. All of the Top 20 automotive OEMs and most of their suppliers have selected AutoForm as their software of choice. Besides its headquarters in Switzerland, AutoForm has offices in Germany, The Netherlands, France, Spain, Italy, Czech Republic, Sweden, USA, Mexico, Brazil, India, China, Japan and Korea.
To support the growth of our
Software Development Department
in
Zürich
, we are looking for a
(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 your CV and attachments with the
reference 26/12/jw
to Michelle Schuler, Human Resources Zurich. We are looking forward to receiving your application.
AutoForm Development GmbH, Technoparkstrasse 1, 8005 Zürich, Switzerland
Tel: ++41-43-444 61 61
www.autoform.com
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