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Eavor TechnologiesPosted 1 week ago

Senior Simulation Engineer

On-siteCalgary, Alberta, Canada

Part TimeSenior LevelDoctorate Or Professional DegreeSmall

Job Summary

Lead development of physics-based models and numerical solvers with emphasis on computational structural mechanics and thermal-hydraulic integration. Improve solver robustness, accuracy, and performance while defining interfaces for the Jules geothermal drilling system. Collaborate with engineering teams to evaluate simulation scenarios, inform design reviews, and apply AI-enabled tools to enhance software development. Maintain technical documentation covering model assumptions and validation status using experimental and analytical evidence.

Required Qualifications

  • MSc or PhD in engineering, physics, applied mathematics, or a related field
  • 5+ years of experience developing numerical simulation software
  • Expertise in computational structural mechanics
  • Expertise in nonlinear finite element methods
  • Understanding of coupled multiphysics simulation
  • Strong mathematical foundations in linear algebra
  • Strong mathematical foundations in numerical methods
  • Strong mathematical foundations in differential equations
  • Proficiency in Python
  • Ability to verify and validate models against test data, analytical solutions, or established simulation codes
  • Effective problem-solving skills
  • Effective technical writing skills
  • Effective communication skills
  • Effective collaboration skills

Desired Qualifications

  • PhD in computational mechanics, scientific computing, or a related field
  • Experience applying computational mechanics to drilling systems, such as torque-and-drag, drillstring dynamics, or tubular mechanics
  • Familiarity with commercial and open source simulation tools for modelling and benchmarking such as COMSOL, Ansys, Abaqus, OpenFOAM, MOOSE, Elmer or CalculiX
  • Proficiency with production software practices: typed code, automated testing, code review, and continuous integration
  • A background in performance engineering: profiling, compiled numerical kernels, or real-time and co-simulation interfaces

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