Machine Learning Software Developer, CFD (2025-043)

Circle Cardiovascular Imaging; Calgary; On-site; CAD 85,000 - 115,000; Full time

Job summary

A leading medical imaging firm in Calgary is seeking a computational scientist with 3+ years of experience in CFD simulations and programming in Python or C++. The ideal candidate will combine first-principles physics with modern machine learning to develop innovative solutions. Benefits include competitive compensation, professional development, and a flexible working environment.

Benefits

Competitive compensation

Transportation allowance

Flexible working arrangements

Employee Wellness Program

Professional development

Qualifications

• 3+ years of hands-on experience with CFD simulations.
• Strong programming proficiency in Python or C++.
• Deep understanding of fluid dynamics and numerical methods.

Responsibilities

• Design and analyze CFD simulation studies.
• Critically analyze clinical data for AI strategies.
• Develop high-quality datasets for machine learning.

Skills

CFD simulations

Python

C++

Fluid dynamics

Data analysis

Education

Master's or PhD in Mechanical Engineering, Biomedical Engineering, Physics, or related field

Tools

PyTorch

TensorFlow

DICOM

ITK

Job description

Overview:

Circle Cardiovascular Imaging (Circle) designs, builds, and implements the best-in-class cardiovascular Magnetic Resonance Imaging solutions. At the heart of everything we do is our unrelenting drive to continually offer better solutions for healthcare providers that improve healthcare outcomes. This fuels our creativity, informs our decisions and it is the reason we are passionate about our work and most importantly why we are successful. We are careful stewards of resources focused on optimizing both customer and investor value. We strive to make Circle a place where employees are highly valued, engaged, and have opportunities for professional development. Our roots are medical and digital, our passion is contagious, and our people are amongst the best.

Circle's vision is to Transform Cardiovascular Care through Intelligent Solutions. Circle is a well-known, established leader in the cardiovascular imaging industry, with our best-in-class MR and CT imaging solutions utilized by top healthcare institutions worldwide.

Position Overview:
This is a unique role for a computational scientist or engineer who is passionate about bridging the gap between first-principles physics and modern machine learning. You will champion the development of next-generation hybrid methodologies, introducing techniques that fuse the rigor of first-principles physics (Computational Fluid Dynamics (CFD)) with the efficiency of deep learning. You are the bridge, the domain expert, and the co-developer who ensures our AI is scientifically sound from the ground up. Your work willform the foundation for our predictive engine that combines the explanatory power of CFD with the speed and scalability of deep learning.

General Responsibilities:

• Design, execute, and analyze comprehensive CFD simulation studies to investigate complex fluid
  dynamics phenomena, validate product designs, and explore novel physical concepts.
• Critically analyze clinical data and simulation results to extract meaningful physical insights to inform
  AI strategies and development.
• Oversee the curation of high-quality datasets derived from clinical data and simulation studies,
  ensuring they are well-structured and documented for use in training machine learning models.
• Partner closely with the core ML engineers and scientists to guide the development of next-generation
  hybrid. Your CFD simulation expertise will be an asset in validating and establishing physical
  constraints.
• Validate simulation results against clinical data and phantom studies to ensure physical accuracy and
  reliability.
• Write clean, high-performance, and scalable code in C++ and/or Python for our simulation and data
  generation infrastructure.

Required Skills/Experience:

• 3+ years of hands-on experience running and analyzing complex CFD simulations, from geometry
  and mesh preparation to post-processing and interpretation.
• Strong programming proficiency in Python or C++ for the purpose of scripting, automation, and data
  analysis in a scientific computing context.
• Deep theoretical and practical understanding of fluid dynamics, the Navier-Stokes equations, and
  associated numerical methods.
• Demonstrated experience in structuring and executing scientific computing projects or simulation-based
  research

Preferred Skills/Experience:

• Experience with machine learning frameworks (e.g., PyTorch, TensorFlow) and a desire to work at
  their intersection with physics.
• Familiarity with medical imaging formats (DICOM) and 3D geometry/mesh processing libraries (e.g.,
  ITK).
• Knowledge of cardiovascular physiology and hemodynamics.
  

Educational Requirements:

• Master's or PhD in Mechanical Engineering, Biomedical Engineering, Physics, Computational
  Science, or a related field.
  

About the Benefits:

• Competitive compensation and vacation
  
• Transportation allowance
• Flexible working arrangements
• Employee Wellness Program
• Professional development and tuition reimbursement program
• Gratifying internal recognition/kudos programs
• Annual salary review – based on company and individual performance
• Fun, inclusive, ego-free environment where diversity and individual thoughts are encouraged and valued

Upon joining Circle CVI, you will be welcomed into a collaborative and supportive company with uncompromising values on quality, innovation, culture, and customer service. Join us in changing the medical technology world and submit your application below!

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