Summary
An advanced AI research organization is seeking an engineering domain expert to develop data-driven solutions for complex physical systems. You will run large-scale simulations, train and evaluate AI models on physics data, automate scientific workflows, investigate model failures, and collaborate with engineering clients and research teams. The ideal candidate combines deep industry expertise with strong scientific curiosity and interest in machine learning.
Highlights
Work at the intersection of engineering simulation and AI, collaborate with multidisciplinary research teams, lead impactful industrial projects, and access a broad benefits package that may include relocation support.
Description
About Mistral
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute.
We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society.
Our diverse workforce thrives in competitive environments and is committed to driving innovation.
Our teams are distributed between Europe, North America, Asia and the Middle East.
We are creative, low-ego and team-spirited.
What You Will Do
Design and run large-scale simulation campaigns using domain-specific solvers (e.g.
OpenFOAM, ANSYS, COMSOL, Abaqus) Run training of AI models on physics data, with rigorous evaluation of coverage, accuracy, and quality against industry validation standards Build tools and frameworks for automated dataset creation, simulation pipeline management, and model evaluation Collaborate closely with the science/research team on training runs and diagnose failure modes arising from data gaps or architecture limitations Manage research projects and client communications with engineering teams
About You
Fluent English with excellent communication skills - able to explain technical simulation concepts to both engineering and non-technical audiences Have a PhD in physics or engineering and 5 years+ of industry experience in a relevant domain.
You work in a key engineering industry: Automotive, Aerospace or Semiconductors and have an interest in machine learning.
Self-directed - you don't need detailed roadmaps to make progress Low-ego, collaborative, and eager to learn at the intersection of simulation and ML Demonstrated success through industrial projects, academic work, or personal projects
It would be great if you
Have a deep passion for machine learning Have industrial or academic experience with simulation solvers (e.g.
OpenFOAM, ANSYS, COMSOL, Abaqus, or equivalent) Have applied ML methods to simulation or surrogate modelling Have experience automating large-scale simulation campaigns on HPC clusters Have contributed to a large open-source or industry codebase Have publications in engineering or ML venues (NeurIPS, ICLR, etc.) Love improving existing code by fixing typing issues, adding tests and improving CI pipelines
What we offer
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance.
Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page.
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