Applied AI Engineer in Québec

Applied AI Engineer in Québec

Québec Full-Time 82800 - 101200 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Experiment with AI and simulation technologies to transform engineering workflows.
  • Company: Join Bentley Systems, a leader in infrastructure engineering software.
  • Benefits: Enjoy competitive salary, benefits, and a day off for volunteering.
  • Other info: Collaborative environment with opportunities for career growth.
  • Why this job: Make a real impact by innovating engineering design processes.
  • Qualifications: Strong Python skills and experience with ML frameworks required.

The predicted salary is between 82800 - 101200 $ per year.

Location: Quebec (Hybrid) - 3 days a week in office

Engineering simulation is undergoing a structural shift. What used to be a slow, solver-driven process is becoming a fast, exploration-driven workflow, enabled by surrogate models, physics-informed AI, and GPU-accelerated methods. This changes not just how simulations run, but how engineers design—moving from evaluating a few options to exploring entire design spaces. We are looking for a hands-on Applied AI Engineer to experiment with these emerging technologies. Your role is to try new tools, test them, benchmark them, integrate them into prototypes, determine what actually works in practice, and give an informed decision on its viability in Bentley’s products. The goal is to develop a clear understanding of where these approaches can realistically transform engineering workflows—and where they cannot. This is an experimental role. You will spend most of your time building and testing prototypes, not writing reports or maintaining production systems.

What You Will Do

  • 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

What We Are Looking For

Requirements:

  • Strong programming ability (Python required)
  • Experience with PyTorch, JAX, or similar ML frameworks
  • Solid understanding of numerical simulation: FEM, CFD, or multiphysics modeling
  • Familiarity with deep learning, surrogate modeling, reduced-order models, or optimization workflows
  • Good communication skills and collaborative mindset

Highly Valued

  • Experience building experimental or research prototypes
  • Understanding of design space exploration (DOE, parameter studies, combinatorial optimization)
  • Exposure to physics-informed ML or scientific machine learning
  • Experience working with GPU or high-performance computing environments
  • Experience working with machine learning for physics simulations
  • Hands-on experience developing Multiphysics simulation code

Mindset

  • Hands-on, experimental, and comfortable working with incomplete tools
  • Curious but skeptical—focuses on what works, not what is claimed
  • Naturally tests limits and edge cases, not just happy paths
  • Thinks in terms of workflows and iteration loops, not isolated tools
  • Able to quickly move from idea → prototype → insight
  • Good business acumen; able to understand what brings value to Bentley

What Success Looks Like

  • You build prototypes that demonstrate new ways to accelerate design workflows
  • You identify where AI-based approaches are genuinely useful—and where they fail
  • You provide clear, evidence-based insights grounded in experiments, not assumptions

This is a Hybrid role.

What We Offer:

  • Step into a collaborative work environment where ideas flourish, and teamwork propels us forward towards shared success.
  • An attractive salary and benefits package.
  • Bentley Impact Day: take a day off from work to volunteer with an organization of your choice.
  • Celebrate milestone achievements and moments that matter through our colleague recognition award programs and our Bentley Achievers platform.
  • A commitment to inclusion, belonging and colleague wellbeing through global initiatives and resource groups.
  • Be part of a company committed to making a real difference by advancing the world’s infrastructure for better quality of life, where your contributions help build a more sustainable, connected, and resilient world.

Who We Are:

Bentley Systems (Nasdaq: BSY) is the infrastructure engineering software company. We provide innovative software to advance the world’s infrastructure – sustaining both the global economy and environment. Our industry-leading software solutions are used by professionals, and organizations of every size, for the design, construction, and operations of roads and bridges, rail and transit, water and wastewater, public works and utilities, buildings and campuses, mining, and industrial facilities.

Bentley Systems’ 5,200 colleagues generate annual revenues of more than $1 billion in 194 countries.

Equal Opportunity Employer: Bentley is proud to be an equal opportunity employer and considers for employment all qualified applicants without regard to race, color, gender/gender identity, sexual orientation, disability, marital status, religion/belief, national origin, caste, age, or any other characteristic protected by local law or unrelated to job qualifications.

Applied AI Engineer in Québec employer: Blyncsy

Seequent is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for Senior Software Developers to thrive. With a strong emphasis on employee growth, Seequent offers opportunities for mentorship and technical guidance, while also providing the flexibility of a hybrid work environment in Toronto. The company prioritizes cutting-edge technology and encourages its employees to tackle complex challenges, ensuring that every team member contributes to meaningful projects that drive the future of geoscience data management.

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Contact Details:

Blyncsy Recruitment Team

We think you need these skills to ace Applied AI Engineer in Québec

Python Programming
Experience with PyTorch
Experience with JAX
Numerical Simulation (FEM, CFD)
Deep Learning
Surrogate Modeling
Reduced-Order Models