AI Scientist Domain Expert Crashworthiness
Paris-based AI company building frontier models, AI applications, developer tools, and compute infrastructure for enterprise and public-sector deployments.
Maintainer signals as of 9/25/2026
About Mistral AI
Mistral AI develops open-weight and commercial language models and provides a full-stack AI platform spanning agents, application development, custom-model training, APIs, and AI cloud infrastructure.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will define, generate, and improve simulation datasets for crashworthiness foundation models. You will run structural-mechanics simulations, automate simulation and evaluation pipelines, train and assess AI models, evaluate outputs against engineering requirements, and work with industrial customers to define and validate use cases.
Requirements
- Deep expertise in crashworthiness, solid mechanics, structural mechanics, and industrial simulation workflows
- Master’s degree or equivalent technical depth in a relevant engineering or physics discipline
- 4+ years of relevant industrial experience, or a PhD plus 1 year of experience
- Experience with explicit dynamics, crash or impact simulation, and nonlinear FEM
- Experience with simulation validation, correlation, numerical sensitivity, and engineering KPI definition
- Python development skills
- Software engineering practices including Git, automated testing, code review, and documentation
- Experience with Linux and HPC environments and compute-cluster simulation campaigns
- Ability to scope ambiguous industrial problems into datasets, experiments, metrics, and plans
- Communication skills for technical and non-specialist stakeholders
Responsibilities
- Define, generate, and improve simulation datasets for crashworthiness foundation models
- Design and run high-fidelity structural-mechanics simulation campaigns
- Define training-data variation spaces and engineering KPIs
- Build or guide automated simulation, post-processing, dataset, and model-evaluation pipelines
- Train and evaluate AI models on simulation data
- Diagnose model failure modes and data limitations
- Evaluate model outputs against industrial engineering needs
- Work with industrial customers to define use cases, success criteria, and validation requirements
Benefits
- Healthcare coverage
- Parental leave
- Retirement plans
- Relocation support
- Wellness programs
- Meal allowances
- Transportation allowances
- Location-specific perks