About Mistral AIAt Mistral AI, we harness the transformative power of artificial intelligence to streamline processes, optimize time management, and elevate both learning and creativity. Our innovative technologies are thoughtfully crafted to integrate effortlessly into everyday workflows. We are committed to democratizing AI by offering high-performance, state-of-the-art, open-source models and solutions. Our robust AI platform addresses the diverse needs of enterprises, whether deployed on-premises or through cloud solutions. Among our key offerings is 'le Chat', an AI assistant designed to enhance both personal and professional life. As a vibrant and collaborative team, we are driven by a shared passion for AI and its potential to reshape our world. Our diverse workforce thrives in competitive settings and is devoted to fostering innovation. We have teams located across France, the USA, the UK, Germany, and Singapore, embodying creativity and a team-oriented ethos. Join us at the forefront of AI development and help shape the future. Together, we can create a significant impact. To learn more about our culture, visit us at https://mistral.ai/careers.About the PositionMistral AI is actively seeking Applied Scientists with profound expertise in engineering sciences to explore the cutting-edge realm of AI-accelerated simulation. In this role, you will collaborate with industrial partners and our internal research teams to develop and implement AI Physics Models, complementing our existing suite of Large Language Models (LLMs).As a key contributor across the entire development stack, your responsibilities will include curating high-fidelity simulation datasets, training and assessing models, and delivering production-grade AI solutions directly to engineering teams. Areas of focus encompass computational fluid dynamics, structural mechanics, semiconductor design, multi-physics modeling, and digital twins.You will work collaboratively with research, product, and customer-facing teams to ensure that our models not only meet engineering standards but excel beyond mere benchmark metrics.Your Responsibilities• Design and execute large-scale simulation campaigns utilizing domain-specific solvers (e.g., OpenFOAM, ANSYS, COMSOL, Abaqus).• Train AI models on physics data, conducting thorough evaluations of coverage, accuracy, and quality against industry validation benchmarks.• Create tools and frameworks for automated dataset generation, simulation pipeline management, and model evaluation.• Develop agents and retrieval-augmented generation (RAG) systems that integrate LLMs with engineering simulation workflows.• Collaborate closely with the research team during training runs and troubleshoot any issues related to data gaps or architectural limitations.• Oversee research projects and maintain communications with engineering teams.Your Profile• Proficient in English with outstanding communication skills - capable of articulating technical simulation concepts to both engineering and non-engineering stakeholders.
Apr 27, 2026
