Thermal Systems Modeling & Simulation Engineer

generalmotors

Markham

Hybrid

CAD 80,000 - 85,000

Full time

14 days+
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Benefits offered by this job

Paid time off
Healthcare benefits
Life insurance
Pension plan
GM Vehicle Purchase Plan

Job summary

General Motors Canada seeks a Technical Expert to advance next-generation virtual thermal system development. You will build fast-running, physics-based models of full vehicle thermal systems, linking them to controls, sensor data, and AI-enabled engineering workflows.

The role spans BEV, PHEV, ICE, and HEV architectures, connecting high-fidelity analysis with reduced-order models and model-based engineering for scalable virtual development. A recent Ph.D.

Qualifications

  • PhD from a Canadian university completed within the past five years.
  • Strong foundation in thermal-fluid sciences, dynamic systems, controls, or numerics.
  • Experience developing physics-based, reduced-order, fast-running models.
  • Proficiency in MATLAB/Simulink, Python, C++, or similar tools.

Responsibilities

  • Develop and integrate fast-running models of complete vehicle thermal systems across BEV, PHEV, ICE, and HEV architectures.
  • Translate detailed thermal analyses into efficient models for rapid simulation and broad engineering use.
  • Support model integration with virtual plant environments and cloud workflows.
  • Establish reusable model interfaces, parameterization, and validation across variants.
  • Develop and apply model predictive control for coupled thermal subsystems.
  • Collaborate with controls, software, calibration, testing, and vehicle integration teams for SIL, MIL, and hardware validation.
  • Contribute to AI-enabled modeling of vehicle thermal and airflow for plant models.

Skills

thermal-fluid sciences
dynamic systems
controls
numerical methods
engineering modeling
communication

Education

PhD

Tools

MATLAB/Simulink
Python
C++
Modelica
GT-SUITE
Simscape
OpenFOAM

Job description

General Motors Canada seeks a Technical Expert to advance next-generation virtual thermal system development. You will build fast-running, physics-based models of full vehicle thermal systems, linking them to controls, sensor data, and AI-enabled engineering workflows.

The role spans BEV, PHEV, ICE, and HEV architectures, connecting high-fidelity analysis with reduced-order models and model-based engineering for scalable virtual development. A recent Ph.D.

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