Real-Time CFD Simulation Engineer

NP Complete; Paris; Hybride; EUR 90 000 - 120 000; Plein temps

Résumé du poste

Augur AI in Paris is seeking engineers to push real-time feedback loops for CFD and physics-based AI. Build scalable CFD pipelines generating high-fidelity data for training and evaluating physics models.

You will work on solver validation, cluster orchestration, and delivering clean data. This role targets simulations across aerospace, energy, and safety-critical industries, requiring deep numerical methods expertise and Python proficiency.

Qualifications

• Master’s or PhD in numerical methods (CFD/FEA)
• Experience configuring solvers in headless, non-GUI modes
• Proficient Python and container orchestration
• Experience with large-scale scientific datasets

Responsabilités

• Design and automate CFD pipelines to generate high-fidelity datasets.
• Validate solver setups and ensure numerical stability across flow regimes.
• Orchestrate large-scale runs on compute clusters with reproducible configs.
• Deliver clean, labeled CFD data aligned with training needs.

Connaissances

Simulation expert

Headless operations

Python power user

Data fluent

Formation

Master's or PhD in numerical methods (CFD, FEA)

Outils

Docker

Kubernetes

Description du poste

Augur AI in Paris is seeking engineers to push real-time feedback loops for CFD and physics-based AI. Build scalable CFD pipelines generating high-fidelity data for training and evaluating physics models.

You will work on solver validation, cluster orchestration, and delivering clean data. This role targets simulations across aerospace, energy, and safety-critical industries, requiring deep numerical methods expertise and Python proficiency.