AI Domain Expert: Crashworthiness Simulations

United States Digital Space LLC; Paris; On-site; EUR 90,000 - 150,000; Full time

Benefits offered by this job

Healthcare coverage

Parental leave

Retirement plans

Relocation support

Wellness programs

Meal allowance

Transportation allowance

Job summary

Mistral AI is seeking a Domain Expert in crashworthiness simulations to develop AI-accelerated simulation capabilities for industrial engineering. You will combine solid mechanics expertise with machine learning within structural simulations to support real engineering use cases.

You will work across research, product, and customer-facing teams to ensure models meet industry standards, with focus on automotive, aerospace, and consumer electronics applications.

Qualifications

• Master’s degree or equivalent technical depth in mechanical engineering, aerospace engineering, civil/structural engineering, computational mechanics, applied physics, or related field.
• 4+ years of relevant industrial experience (or PhD +1 year) in automotive, aerospace, or consumer electronics.
• Hands-on experience with explicit dynamics for crash or impact simulation and nonlinear FEM concepts.
• Direct experience with simulation validation, correlation, model quality, and KPI definition.
• Strong Python development for automation, data processing, and model evaluation; Git-based workflows and good documentation.
• Experience in Linux and HPC environments; batch job submission and compute resource management.
• Ability to operate in ambiguous environments and translate problems into datasets, experiments, and metrics.
• Clear communication with technical and non-technical stakeholders.

Responsibilities

• Define, generate, and iteratively improve simulation datasets for training crashworthiness foundation models.
• Design and run high-fidelity simulation campaigns using Abaqus, LS-DYNA, Ansys Mechanical, Radioss or equivalent tools.
• Define the variation space for training data: geometry, mesh, material, boundary conditions, loading, and KPIs.
• Build or guide automated pipelines for simulation setup, execution, post-processing, dataset creation, and evaluation.
• Train and evaluate AI models on simulation data; diagnose failures from data gaps or artifacts.
• Evaluate model outputs against engineering needs, including KPI alignment and out-of-domain behavior.
• Collaborate with industrial customers to understand workflows and success criteria.

Skills

Python

Git

Strong communication

Linux

Education

Master’s degree

Tools

Abaqus

LS-DYNA

Ansys Mechanical

Radioss

Job description

Mistral AI is seeking a Domain Expert in crashworthiness simulations to develop AI-accelerated simulation capabilities for industrial engineering. You will combine solid mechanics expertise with machine learning within structural simulations to support real engineering use cases.

You will work across research, product, and customer-facing teams to ensure models meet industry standards, with focus on automotive, aerospace, and consumer electronics applications.