Thermal/Fluid Modeling Engineer - Electrified Powertrains

About the role

Ford’s Electric Vehicles, Digital and Design (EVDD) team is charged with delivering the company’s vision of a fully electric transportation future. EVDD is customer-obsessed, entrepreneurial, and data-driven and is dedicated to delivering industry-leading customer experience for electric vehicle buyers and owners. You’ll join an agile team of doers pioneering our EV future by working collaboratively, staying focused on only what matters, and delivering excellence day in and day out.

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.

Preferred Qualifications

• 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, etc.).
• Hands-on experience applying AI/ML techniques 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.

Benefits

• Immediate medical, dental, vision, and prescription drug coverage.
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care, and more.
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more.
• Vehicle discount program for employees and family members and management leases.
• Tuition assistance.
• Established and active employee resource groups.
• Paid time off for individual and team community service.
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day.
• Paid time off and the option to purchase additional vacation time.

Pay

This position is a salary grade 6-8 and ranges from $81,800–182,800. Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility, and competitive market value.

Schedule

This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week.