As a Simulation Engineer for Crash Testing at Emmi AI GmbH, you will be the foundational domain expert responsible for developing the world’s first Large Engineering Model (LEM) for crash simulations. Your expertise in finite element analysis and industrial simulation will drive the transformation of traditional FEA methods into a high-performance, AI-powered data engine that enables near-instant prediction of structural deformation.
What You'll Do
- Architect the Training Strategy: Collaborate with the Research team to define what 'perfect' training data looks like, including determining necessary variance in geometry, material non-linearity, and mesh granularity for optimal data composition.
- Engineer the Data Flywheel: Own the end-to-end creation of massive, high-fidelity datasets using solvers like LS-DYNA or OpenRadioss, and build automated, efficient simulation pipelines that continuously feed the model.
- Define Industrial KPIs: Act as the internal 'Voice of the Customer' by partnering with Product and GTM teams to define accuracy requirements and technical KPIs that the LEM must meet.
- Shape the User Experience: Define how an AI-powered crash tool should feel, including integrating near-instant feedback into existing CAD workflows to solve real-world pain points for structural engineers.
What We're Looking For
- Domain expertise in crash testing and traditional FEA (Finite Element Analysis) methods
- Experience with high-fidelity simulation solvers such as LS-DYNA or OpenRadioss
- Ability to translate engineering simulation know-how into data-driven AI training strategies
- Experience defining technical KPIs and accuracy requirements in industrial simulation contexts
- Understanding of CAD workflows and how engineering tools integrate into design processes
Technical Stack
- LS-DYNA
- OpenRadioss
- Finite Element Analysis (FEA)
- AI-powered physics models
- CAD workflows
- Simulation data pipelines
Team & Environment
- Early-stage team
- Dynamic, research-driven startup environment
Benefits & Compensation
- Hybrid Work Model: Work from Paris or Linz (easily accessible from Vienna) in a hybrid setup that balances in-office collaboration with remote flexibility
- Impact: Shape the future of industrial AI and drive meaningful projects in a fast-moving, early-stage environment
- Growth & Learning Opportunities: Attend conferences like NeurIPS, participate in offsites, and work in an environment that prioritizes research and continuous learning
- Competitive & Personalized Benefits: A compensation package tailored to individual needs and circumstances
- VSOP (Virtual Stock Option Plan)
Work Mode
- Hybrid work setup
- Locations: Paris, Linz
- Flexibility: Balances in-office collaboration with remote flexibility; hybrid setup allows flexibility in structuring workweek
We are committed to fostering a diverse, inclusive, and respectful workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
