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 Good 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 in Québec employer: Bentley Systems
Bentley Systems is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Quebec. With a strong emphasis on employee growth, you will have the opportunity to mentor fellow engineers and lead impactful projects while benefiting from flexible hybrid work arrangements. Join us to be part of a dynamic team that values your contributions and supports your professional development in a cutting-edge technology environment.
