CAE Automation Engineer

Overview

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