AI Scientist – Domain Expert, Crashworthiness

🔥 14 hours ago

🇫🇷 France – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧠 AI Research Scientist

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Mistral AI

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2023

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

Artificial Intelligence • SaaS • Enterprise

Mistral AI is a company that builds frontier large language and generative AI systems, offering platforms, models, and services to help organizations develop, customize, and deploy AI agents and applications. They provide products like Vibe (an AI agent for long-horizon work and coding variants), Studio (tools to build, test, and run AI agents and apps), Forge (training, aligning, and evaluating custom models), and Compute (infrastructure for training and inference). They also offer APIs, models (e. g. , Mistral Medium 3. 5, Mistral Small 4, Mistral OCR 4, Voxtral TTS), enterprise services for model customization and deployment, and industry-specific solutions for finance, public sector, manufacturing, energy & utilities, and transportation. Mistral emphasizes on self-hosted and cloud-hosted deployment options, privacy-focused enterprise deployments, and provides frontier-scale infrastructure and expert services for building tailored AI solutions.

📋 Description

• Define, generate, and iteratively improve simulation datasets for crashworthiness foundation models • Design and run high-fidelity simulation campaigns using structural mechanics solvers • Define variation spaces covering geometry, mesh resolution, material behavior, boundary conditions, loading, contact, joints, failure modes, and engineering KPIs • Build or guide automated pipelines for simulation setup, execution, post-processing, dataset creation, and model evaluation • Train and evaluate AI models on simulation data with research teams • Diagnose failure modes caused by data gaps, poor coverage, numerical artifacts, or model limitations • Evaluate model outputs against industrial engineering needs, including accuracy, KPIs, deformation modes, load paths, energy absorption, stress/strain fields, failure indicators, uncertainty, and out-of-domain behavior • Work with industrial customers to understand workflows and priorities, define use cases and success criteria, and incorporate feedback into model development and validation

🎯 Requirements

• Deep expertise in crashworthiness, solid mechanics, and structural mechanics • Master’s degree or equivalent technical depth in mechanical engineering, aerospace engineering, civil/structural engineering, computational mechanics, applied physics, or a related field • 4+ years of relevant industrial experience, or PhD +1 years • Hands-on experience with explicit dynamics for crash or impact simulation • Understanding of nonlinear FEM, contact, plasticity, structural dynamics, buckling, material modeling, fracture/damage, fatigue, crashworthiness, or durability • Experience with simulation validation, correlation, model quality, numerical sensitivity, and engineering KPI definition • Strong Python development skills • Software engineering practices including Git, automated testing, code review, and documentation • Hands-on experience with Linux and HPC environments • Experience submitting and monitoring batch jobs, selecting compute resources, and troubleshooting simulation workflows • Ability to run simulation campaigns across a compute cluster • Ability to turn poorly defined industrial problems into scoped datasets, experiments, metrics, and execution plans • Clear communication with technical experts and non-specialist stakeholders

🏖️ Benefits

• Healthcare coverage • Parental leave • Retirement plans • Relocation support • Wellness programs • Meal allowances • Transportation allowances • Other location-specific perks