Research Engineer – Catia Application Developer

Jobtailor; Dearborn (MO); On-site; USD 95,000 - 130,000; Full time

Job summary

Jobtailor seeks an engineer to develop and integrate advanced simulation tooling for automotive design. You will apply 3DEXPERIENCE and Catia CAA with C++ and Python to automate data flow between solvers and CAD environments, delivering robust, scalable data pipelines.

You will lead DOE studies, validate 3DX implementations, and collaborate with Ford SMEs to form a unified digital twin for stamping and structural workflows, driving rapid design iterations.

Qualifications

• Bachelor’s degree in relevant engineering field.
• 2+ years in industry or grad studies focusing on 3DExperience Catia CAA RADE.
• Proficient with 3DEXPERIENCE tools using C++ and scripting in Python/MATLAB.

Responsibilities

• Apply 3DEXPERIENCE and Catia CAA to automate data flow between solvers and CAD environments.
• Develop robust, efficient tools and data pipelines for large-scale simulation data.
• Lead DOE studies and validate 3DX implementations for accuracy and performance.
• Collaborate with Ford SMEs to develop digital twin workflows for stamping and forming.
• Streamline simulations and enable rapid design iterations with in-house validation.

Skills

3DEXPERIENCE/Catia CAA

C++

Python

MATLAB

DOE/Statistics

Monte Carlo simulations

Six Sigma

Geometric Dimensioning and Tolerancing

Design for welding/thermal processes

Sheet metal mechanics

Education

Bachelor’s degree in Computer Science and Engineering, Mechanical Engineering or Materials Science and Engineering

Tools

Ansys

Abaqus

LS-DYNA

Nastran

Job description

Responsibilities

• Apply 3DEXPERIENCE (3DX)/Catia CAA tools using C++ and Python to create custom architect linkage programs to automate data flow between simulation solvers (Hypermesh, LS-DYNA, AutoForm) and CAD environments.
• Ensure developed tools and data pipelines are robust and computationally efficient, minimizing latency and maximizing throughput for large-scale simulation data.
• Lead statistical sensitivity studies and Design of Experiments (DOE) to optimize manufacturing robustness. Validate the accuracy and performance of 3DX implementations.
• Partner with Ford subject matter experts in forming, joining, and surface science to develop a unified digital twin for stamping, structural casting, and coating workflows.
• Streamline simulation run‑times and automate data processing to enable 100% in‑house feasibility validation and rapid design iterations.

Requirements

• Bachelor’s degree in Computer Science and Engineering, Mechanical Engineering or Material Science and Engineering
• 2+ years of experience in industry and graduate study in application development using 3DExperience Catia CAA RADE
• Highly proficient in 3DEXPERIENCE (3DX)/Catia CAA tools using C++ with experience using Python and MATLAB for linking disparate data formats
• Knowledge of virtual manufacturing using CAE suites such as Ansys, Abaqus, LS-DYNA, or Nastran
• Strong foundation in Solid Mechanics (elasticity, plasticity), material deformation, and thermal‑mechanical behavior.
• Deep understanding of stress‑strain behavior, anisotropy in sheet metal, and phase transformations during welding or baking
• Proficiency of Monte Carlo simulations and Six Sigma principles to handle "variation" as a statistical input rather than a single deterministic value.
• Knowledge of Geometric Dimensioning and Tolerancing to manage dimensional "stack‑ups."