CAE Engineer – Early Career Program, Advanced EV

Ford Motor Company

. Drive CAE and optimization of next-generation ADVEV products in Body, Exteriors, Closures, or Seats .

Posted 11/2/2026full-timeLong Beach • California • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in finite element analysis and optimization techniques, with a strong foundation in solid mechanics and mechanics of materials. Proficient in utilizing advanced CAE tools and methodologies to enhance design robustness and efficiency in automotive applications.

Highest-signal resume keywords

Finite Element Analysis (FEA)Solid MechanicsPython ProgrammingCAD Tools (CATIA V6, 3DEXPERIENCE)Design-of-Experiments (modeFrontier)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Finite Element MethodsLinear and Non-Linear AnalysisNumerical MethodsGradient-Based OptimizationSensitivity Analysis

Soft Skills

CollaborationPresentation Skills

Tools & Technologies

AbaqusOptiStructNCodeANSYSHyperMesh

Industry Keywords

Automotive ManufacturingJoining TechnologiesCAE TechniquesSurrogate ModelsDeep Learning Techniques

Tech Stack

Tools & technologies

KerasNumpyPandasPythonPyTorch

About the role

Key responsibilities & impact

Drive CAE and optimization of next-generation ADVEV products in Body, Exteriors, Closures, or Seats
Develop finite element models at component and subsystem levels
Evaluate designs against stiffness, strength, and durability metrics using linear and non-linear analysis techniques
Work with D&R engineers on cost and mass-down opportunities using topology, topography, gauge, and shape optimization
Develop and implement CAE techniques, analysis procedures, and tools to improve model robustness, fidelity, and simulation speed
Automate analysis methods for large-scale design-of-experiments studies
Create surrogate models using deep learning techniques
Explore design domains using response surface methods
Participate in CAE and design reviews, present findings, and influence design decisions

Requirements

What you’ll need

Currently pursuing a Bachelor’s or Master’s degree in Mechanical Engineering or a related field
Demonstrated ability in structures design and optimization, from hand calculations to detailed analysis and execution
Strong first-principles understanding of solid mechanics and mechanics of materials
Proficiency in finite element methods, including linear and non-linear static analysis
Experience with one or more FEA solvers: Abaqus, OptiStruct, nCode, or ANSYS
Experience with one or more FEA pre/post processors: HyperMesh, SimLab, ANSA, or ANSYS
Scripting or programming experience in Python, including numpy, pandas, scipy, pytorch, or keras
Experience with CAD tools such as CATIA V6 or 3DEXPERIENCE
Experience with modeFrontier or similar design-of-experiments/optimization frameworks
Proficiency in linear and non-linear dynamic and modal finite element analysis
Proficiency in numerical methods, including gradient- and non-gradient-based optimization and sensitivity analysis
Familiarity with AI-assisted coding tools such as Copilot
Familiarity with automotive manufacturing methods and joining technologies
Must be legally authorized to work in the United States
Visa sponsorship is not available

Benefits

Comp & perks

6-month Early Career Program
$5,000 pre-tax relocation and commuter stipend for eligible candidates living more than 50 miles from a local office
Hands-on experience with an exceptional team of industry innovators and visionaries
Professional skill development and meaningful breakthrough work experience
Salary and benefits information provided via Ford supplemental careers page