CAE Automation Engineer

CAE Automation Engineer – Stellantis

Role Overview

CAE Automation Engineer responsible for developing and implementing automation solutions to improve the efficiency, accuracy, and turnaround time of CAE simulation processes. The role involves automating repetitive pre-processing, simulation setup, post-processing, reporting, and data-management activities across various CAE domains.

Responsibilities

Key Responsibilities:

• Develop automation scripts/tools for CAE pre-processing, solver execution, post-processing, and report generation.
• Automate repetitive simulation workflows and reduce manual engineering effort.
• Develop customized solutions using Python, MATLAB, VBA, or similar scripting/programming languages.
• Work with CAE tools such as ANSA, META, HyperMesh, LS-DYNA, Abaqus, Nastran, or equivalent.
• Automate model preparation, mesh checks, boundary-condition setup, load-case creation, solver deck generation, and result extraction.
• Develop automated post-processing and visualization of CAE results.
• Create dashboards, templates, and automated reports for engineering teams.
• Integrate CAE tools with databases, Excel, PLM systems, and other engineering applications.
• Understand existing CAE processes and identify opportunities for automation, standardization, and productivity improvement.
• Collaborate with CAE engineers to convert manual engineering activities into robust automated workflows.
• Perform validation and debugging of automation scripts and ensure reliability of automated processes.
• Support deployment, documentation, and maintenance of automation solutions.
  
  

Qualifications

Bachelor's/ Master's Degree in Engineering in Mechanical / Automobile Engineering.

Essential Skills

Desired Skills

• Strong understanding of CAE simulation processes and engineering workflows.
• Hands-on experience in Python scripting/programming.
• Knowledge of ANSA/META, HyperMesh/HyperView, LS-DYNA, Abaqus, Nastran or similar CAE tools.
• Experience in CAE pre-processing and post-processing.
• Knowledge of automation frameworks, APIs, macros, and tool customization.
• Good understanding of automotive body structures, crash, NVH, durability, CFD, or other CAE domains is an advantage.
• Ability to work with large simulation datasets and automate engineering reports.
• Good problem-solving and analytical skills.
  
  

Desired Skills

Core Skills: CAE + Python + Automation + Pre/Post Processing

Domain: Automotive CAE / Crash & Safety / Structural Simulation

Experience

Experience: 3–8 years

In OEM and Tier 1 Automotive