Thermal/Fluid Modeling Engineer – Electrified Powertrains

Jobtailor; Dearborn (MO); On-site; USD 90,000 - 120,000; Full time

Job summary

Jobtailor is seeking a skilled Mechanical Engineer to conduct advanced 1D/3D CFD analyses across systems and components, using GT-SUITE, STAR-CCM+, Fluent, and Converge. You will prepare models with CAD tools, collaborate with cross-functional teams, and drive model validation through testing correlations while advancing modeling methodologies.

The role requires a Master’s or PhD in Mechanical Engineering, 2+ years in CFD, and strong programming and multi-physics skills.

Qualifications

• Master's degree or higher in Mechanical Engineering or closely related field.
• 2+ years of professional CFD experience using 1D/3D tools.
• Experience with CAD tools for meshing and integration into meshes.
• Strong understanding of numerical simulations, turbulence models, and convergence.

Responsibilities

• Perform advanced 1D/3D thermal and CFD analyses across system, subsystem, and component levels.
• Mesh preparation and model setup using CAD tools for simulations.
• Collaborate with product teams to optimize designs and meet milestones.
• Partner with testing teams to improve model correlation and validation.
• Engage with vendors to advance modeling methodologies.

Skills

CFD analysis

Numerical methods

Multi-physics modeling

Programming

AI/ML in thermal fluids

Experiment correlation

Team collaboration

Communication

Education

Master's degree in Mechanical Engineering

Ph.D. in Mechanical Engineering

Tools

GT-SUITE

STAR-CCM+

Fluent

Converge

Teamcenter

CATIA

MATLAB

Python

JAVA

COMSOL

Job description

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.