Applied AI Engineer: Design-Space Explorer & Prototyping

Blyncsy

Quebec

Hybrid

CAD 90,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Salary and benefits package
Bentley Impact Day

Job summary

Bentley Systems in Quebec is seeking an Applied AI Engineer to explore surrogate models, physics-informed ML, and GPU-accelerated methods to accelerate design workflows. You will prototype, benchmark, and iterate on emerging tools, testing viability for integration into Bentley’s design software.

The role is hands-on and experimental, with a hybrid in-office/work model (3 days/week in Quebec) and a focus on prototypes over production code, collaboration, and clear, evidence-based recommendations.

Qualifications

  • Strong programming skills in Python.
  • Experience with PyTorch or JAX and similar ML frameworks.
  • Solid background in FEM, CFD, or multiphysics modeling.
  • Familiarity with deep learning, surrogate modeling, reduced-order models, or optimization workflows.
  • Good communication and collaborative mindset.

Responsibilities

  • Keep track of new technologies in the field.
  • Evaluate emerging simulation and AI tools through hands-on prototyping.
  • Build and benchmark surrogate models against traditional FEM/CFD workflows.
  • Test robustness, limitations, and failure modes of new approaches.
  • Prototype hybrid pipelines (e.g., surrogate + high-fidelity validation).
  • Explore how these approaches can integrate into real engineering workflows.
  • Report to stakeholders with clear recommendations.

Skills

Python programming
ML frameworks experience
Numerical simulation understanding
Communication and collaboration

Tools

PyTorch
JAX

Job description

Bentley Systems in Quebec is seeking an Applied AI Engineer to explore surrogate models, physics-informed ML, and GPU-accelerated methods to accelerate design workflows. You will prototype, benchmark, and iterate on emerging tools, testing viability for integration into Bentley’s design software.

The role is hands-on and experimental, with a hybrid in-office/work model (3 days/week in Quebec) and a focus on prototypes over production code, collaboration, and clear, evidence-based recommendations.

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