About the Company


We are seeking a qualified candidate for the position of System Simulation Engineer within the Propulsion Virtual Thermal Management (VTM) team.



About the Role


This role focuses on thermal management systems, including air-conditioning (A/C), engine, battery, and cabin cooling, using primarily one-dimensional simulation tools. The candidate will be expected to independently execute 1D and coupled 1D–3D simulations, from data acquisition across various sources through to analysis and report generation. The role requires close collaboration with system engineers to provide simulation-driven insights, numerical solutions, and recommendations for design improvements.



Responsibilities



  • Execute 1D and coupled 1D–3D simulations.
  • Data acquisition across various sources.
  • Analysis and report generation.
  • Collaboration with system engineers for insights and recommendations.


Qualifications



  • Master's degree (preferred) in Mechanical Engineering, Thermal Engineering, Thermofluids, or related field.
  • Thesis or research experience in CFD, Thermal-fluid systems, 1D/3D co-simulation.


Required Skills



  • Minimum 2 years of experience using 1D simulation tools such as Amesim, GT-SUITE, Flowmaster, KULI, AVL Cruise, or MATLAB/Simulink for flow and thermal analysis.
  • Minimum 2 years of experience in applied CFD, using tools such as ANSA, STAR-CCM+, or TAITherm.
  • Strong fundamentals in Fluid Mechanics, Thermodynamics, and Heat Transfer.
  • Good understanding of automotive systems and component functionality.
  • Ability to work effectively in cross-functional teams with a proactive mindset.


Preferred Skills



  • 3+ years of experience in vehicle or powertrain thermal management, including cooling systems, climate control, or thermal protection.
  • Experience in automotive HVAC and engine system design and development.
  • Experience with simulation integration and validation using Model-in-the-Loop (MiL) and Hardware-in-the-Loop (HiL) setups.
  • Knowledge of advanced control algorithms, including classical and AI-based approaches.
  • Familiarity with CAD tools.
  • Experience with optimization techniques and Design of Experiments (DoE).
  • Demonstrated capability in methodology development and technical problem solving.
  • Experience in controls modeling.
  • Experience with co-simulation frameworks, including: 1D (MATLAB/Simulink), 1D–3D (e.g., GT–TAITherm).
  • Working knowledge of system bench testing, dynamometer testing, and vehicle test cells.


Pay range and compensation package



Location Requirement: Candidate must be based in or willing to work from Windsor. Current setup is hybrid, with increasing in-office collaboration expected.



Equal Opportunity Statement



We are committed to diversity and inclusivity.

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