Simulation Engineer - Crash Testing - Remote

Overview

At Emmi AI, we are redefining how industries innovate. Traditional simulations are slow, expensive, and computationally heavy. We make them fast, scalable and intelligent!

Our AI-Powered physics architecture and models unlock Real-time interaction, slashing simulation times from days to seconds.

Contribute to cutting-edge AI research and help redefine what’s possible in the industry!

In Short

• As our Simulation Engineer for Crash Testing, you will be the foundational domain expert for our most ambitious project yet: the world’s first Large Engineering Model (LEM) for Crash Testing.
• Your mission is to translate decades of traditional FEA "know-how" into a high-performance data engine that trains our model to predict structural deformation near-instantly.
• Architect the Training Strategy: Collaborate with our Research team to define what "perfect" training data looks like.
• Engineer the Data Flywheel: Own the end-to-end creation of massive, high-fidelity datasets using solvers.
• Define Industrial KPIs: Partner with Product and GTM teams to define accuracy requirements.
• Shape the User Experience: Define how an AI-powered crash tool should feel.
• Work in a hybrid setup that balances in-office collaboration with remote flexibility.
• Enjoy the agility and impact that comes with being part of a dynamic, early-stage team.
• Attend conferences and work in an environment that prioritizes research and continuous learning.
• Receive a compensation package tailored to your needs and circumstances.

Requirements

• You have at least 5 years of industrial experience at a car manufacturer or a major Tier 1 simulation provider.
• You have advanced experience using tools like LS-DYNA or OpenRadioss.
• You understand the automotive Verification & Validation (V&V) processes.
• You have a basic understanding of Machine Learning.
• You hold a Master’s or PhD in Computer Science, Engineering, Physics, or a related field.
• You understand that the quality of an AI model is defined by its data.
• Nice to have: Advanced python skills, SQL, Advanced ML skills.

Benefits

• Shape the future of industrial AI and drive meaningful projects.
• Flexible work environment.
• Opportunities for growth and learning.
• Competitive and personalized benefits.