Applied AI Engineer in hybrid Quebec, using Python and machine learning to prototype simulation methods for engineering design exploration.
At Bentley, you will experiment with emerging simulation and AI technologies in a hands-on, experimental role. You will evaluate surrogate models, physics-informed AI, GPU-accelerated methods, and numerical simulation workflows. The work centers on prototypes rather than production-system maintenance.
Key Responsibilities: Track emerging technologies in simulation and artificial intelligence
Build and benchmark surrogate models against FEM and CFD workflows
Test robustness, limitations, and failure modes
Prototype hybrid pipelines with high-fidelity validation
Provide clear recommendations to stakeholders
Requirements: Strong programming ability with Python required
Experience with PyTorch, JAX, or similar frameworks
Understanding of FEM, CFD, or multiphysics modeling
Knowledge of deep learning or surrogate modeling
Valuable communication skills and collaborative mindset
Apply Python, machine learning, and numerical simulation expertise to experimental Bentley engineering workflow prototypes.

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📌 Applied AI Engineer Simulation Prototyping (Quebec City)
🏢 Bentley Systems
📍 Quebec City