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Thermal​/Fluid Modeling Engineer – Electrified Powertrains

Job in Dearborn, Platte County, Missouri, 64439, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-07-21
Job specializations:
  • Engineering
    Engineering Design & Technologists, Mechanical Engineer, Systems Engineer
Salary/Wage Range or Industry Benchmark: 90000 - 120000 USD Yearly USD 90000.00 120000.00 YEAR
Job Description & How to Apply Below
Location: Dearborn

Responsibilities

  • Conduct advanced 1D/3D thermal and Computational Fluid Dynamics (CFD) analysis across system, subsystem, and component levels using commercial CAE/CFD software.
  • Utilize CAD tools for meshing and preparing models for 1D/3D thermal and fluid flow simulations.
  • Collaborate with product development teams, providing crucial analytical support for system optimization, development milestones, and problem-solving.
  • Partner with physical testing teams to enhance model predictability, correlation, and validation.
  • Engage with software vendors to drive the development of new modeling methodologies.
Requirements
  • Master's degree (M.S.) in Mechanical Engineering or a closely related field.
  • 2+ years of professional experience (Co-ops/internships/Coursework included) with 1D/3D CFD tools (e.g., GT-SUITE, STAR-CCM+, Fluent, Converge).
  • 2+ years of experience (Co-ops/internships/Coursework included) utilizing CAD tools (e.g., Teamcenter, CATIA) for model preparation and integration into computational meshes.
  • Ph.D. in Mechanical Engineering or a closely related field.
  • Deep understanding and practical experience in numerical simulation principles, including meshing resolution, solution accuracy, convergence, boundary condition setup, transient modeling, and turbulence model selection.
  • Proficiency with multi-physics modeling tools (e.g., GT-SUITE, COMSOL, STAR-CCM+).
  • Proficiency with at least one programming language (MATLAB, Python, JAVA ...).
  • Hands on experience on applying AI/ML technique to thermal fluid applications.
  • Proven ability to develop high-fidelity models and effectively correlate them with experimental test data.
  • Experience with system-parameter optimization and applying machine learning methods for robust product design.
  • Demonstrated experience in cross-functional teamwork, collaborating with CAE, test, and manufacturing engineers to deliver optimal product design recommendations.
  • Excellent communication and technical presentation skills.
  • Ability to thrive in a hybrid work environment.
Core Competencies

Demonstrates expertise in 1D/3D Thermal and Computational Fluid Dynamics (CFD) analysis, utilizing advanced modeling tools and CAD software for system optimization and validation. Proven ability to collaborate across teams and apply machine learning techniques to enhance product design and model accuracy.

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