About Augur
Engineering progress is constrained by the speed of simulation. In aerospace, energy, and other safety-critical industries, design cycles are still governed by solvers built for a different era, accurate, but slow and costly, and fundamentally incompatible with real-time decision-making. Augur AI exists to change that constraint.
Founded by Emmanuel and Matthieu, both former researchers at Inria working on AI powered simulation, Augur is building foundational AI models for physical simulation. By combining advances in large-scale model architectures with modern compute, we enable real-time iteration across fluid dynamics, structural mechanics, and electromagnetics, without sacrificing physical fidelity.
We want to push engineering towards real time feedback loops. We want Aircraft components to be optimized aerodynamically in real time. Wind farm layouts to be explored interactively to maximize energy yield. Thermal stress in nuclear infrastructure to be anticipated before it becomes a limiting factor. These will come as the natural consequence of the faster physics simulation we are building.
We are deeply embedded in the European research ecosystem, backed by engineers and founders from organizations including Mistral AI, Dataiku, and DeepMind. As we scale our technology into real-world industrial deployments, we are looking for engineers who want to work at the boundary between frontier AI and the most demanding physical systems on earth. We want to become the new technology layer of modern engineering. Our ambition is global, our first office is in Paris, France.
Your Mission
You are the technical face of Augur. Your goal is to ensure our customers can transition from legacy simulation workflows to AI-accelerated design without compromising on accuracy.
- Deployed: Lead technical pilots with global industrial leaders. You will take their specific CAD/mesh data, run baseline simulations, and demonstrate how our AI models provide real-time, high-fidelity feedback.
- Build AI-Driven Workflows: Use Python and our internal APIs to automate the integration of our models into existing industrial PLM and simulation stacks.
- Translate Engineering Needs: You will translate customer requirements into technical specs for our AI Scientists, ensuring our models solve the right physical problems.
- Benchmarking & Validation: Be the "source of truth" for accuracy. You will perform rigorous comparisons between traditional solvers (OpenFOAM, Ansys, etc.) and our models to build trust with mission-critical engineering teams.
- Customer Success & Growth: Drive the technical adoption of our platform, helping customers move from a single pilot to a full-scale deployment across their design teams.
Your Profile
- Advanced Engineering Foundation: You hold a Master’s or PhD in Mechanical Engineering, Aerospace, Physics, or a related quantitative field.
- Programming & AI Expertise: You are a Python power user. Beyond standard scripting, you have hands-on experience working with Machine Learning models and understand how to prepare, normalize, and interface industrial data with AI frameworks.
- Simulation & CAD Knowledge: Ideally, you are a power user of numerical simulation tools (CFD/FEA like OpenFOAM, Ansys, or Star-CCM+). At a minimum, you have a good understanding of CAE software, and you understand why traditional solvers are the current bottleneck.
- Strong Communicator: You are a technical storyteller. You can simplify complex AI concepts for traditional engineers and translate industrial physics requirements into actionable insights for our research team.
Why Join Us?
- Culture: Small team of committed top scientists and engineers in their field.
- High Impact: Join a founding team where your work directly shapes the product and its deployment with global leaders. Work on physical AI that delivers immediate, real-world value, making planes, windfarms, and nuclear plants more efficient and sustainable.
- Frontier AI: Work at the intersection of Generative AI, High-Performance Computing, and complex physics.
- Direct Influence: As one of our first Engineers, you will have a massive say in our roadmap and how our user interface evolves to meet engineering needs.
- Momentum: Join us at a key turning point as we scale from technical validation to major commercial expansion.