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 intelligenceBuild and benchmark surrogate models against FEM and CFD workflowsTest robustness, limitations, and failure modesPrototype hybrid pipelines with high-fidelity validationProvide transparent recommendations to stakeholdersRequirements:
Robust programming ability with Python requiredExperience with PyTorch, JAX, or similar frameworksUnderstanding of FEM, CFD, or multiphysics modelingKnowledge of deep learning or surrogate modelingGood communication skills and cooperative mindsetApply Python, machine learning, and numerical simulation expertise to experimental Bentley engineering workflow prototypes.
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📌 Applied Ai Engineer Simulation Prototyping Winnipeg (Canada)
🏢 Bentley Systems
📍 Canada