Deployment Engineer AI & Industry Engineering Paris · Hybrid

NP Complete; Paris; Sur place; EUR 90 000 - 150 000; Plein temps

Avantages offerts par ce poste

Culture of excellence

High impact projects

Frontier AI development

Direct roadmap influence

Momentum in growth

Résumé du poste

Augur AI is building real-time AI-powered simulations for aerospace, energy, and safety-critical industries. You will lead pilots with global leaders, translate engineering needs into AI specs, and automate AI-augmented workflows into existing CAD/PLM stacks.

You will benchmark against traditional solvers and drive customer adoption from initial pilots to large-scale deployments, collaborating with researchers and engineers at the Paris office.

Qualifications

• Advanced engineering foundations with strong numerical skills.
• Ability to translate engineering needs into AI specifications.
• Experience preparing, normalizing, and interfacing industrial data with AI frameworks.

Responsabilités

• Deploy technical pilots with global industrial leaders using CAD/mesh data and demonstrate real-time, high-fidelity feedback.
• Build AI-driven workflows using Python and internal APIs to integrate models into PLM and simulation stacks.
• Translate customer requirements into technical specs for AI scientists to solve core physical problems.
• Benchmark and validate AI models against traditional solvers to build trust with mission-critical teams.
• Drive technical adoption from pilots to full-scale deployments across design teams.

Connaissances

Python

Machine Learning

Data integration

Formation

Master’s or PhD in Mechanical Engineering, Aerospace, Physics

Outils

OpenFOAM

Ansys

Star-CCM+

Description du poste

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.