CAE Model Build

Weekday AI · Bengaluru, India · Full-time · Posted 2026-10-08

Workplace: on_site

Department: Weekday's Client via platform

Description

This role is for one of Weekday’s clients

Min Experience: 2+ years
Location: Bengaluru
JobType: full-time

We are looking for a CAE Model Build Engineer with 2–5 years of experience in crash simulation model preparation and finite element preprocessing. The ideal candidate will have strong hands-on expertise in ANSA preprocessor, meshing, and crash model build, with a good understanding of CAD geometry and LS-DYNA deck preparation.

The role involves converting CAD geometry into simulation-ready finite element models, building and modifying subsystems, ensuring proper connectivity between components, and integrating multiple subsystems into complete LS-DYNA crash simulation decks. The candidate will work closely with CAE, design, and simulation teams to deliver accurate, robust, and analysis-ready models within project timelines.

Requirements

Key Responsibilities

• Perform meshing from CAD geometry using ANSA and create high-quality finite element meshes suitable for crash analysis.
• Build complete CAE models from CAD data while maintaining appropriate element quality, mesh density, and geometric representation.
• Create, add, modify, and replace parts within existing subsystems based on simulation and design requirements.
• Ensure proper connectivity between parts, including appropriate interfaces, contacts, connections, and related model definitions.
• Integrate and connect two or more subsystems to create a complete LS-DYNA crash simulation deck.
• Perform model checks to identify and resolve issues related to mesh quality, free edges, penetrations, connectivity, duplicate elements, and disconnected components.
• Support model preparation and updates based on engineering changes, design iterations, and simulation requirements.
• Work with CAD geometry and engineering data to understand component interfaces and translate design intent into CAE models.
• Prepare, modify, and maintain LS-DYNA decks as required for crash simulation activities.
• Coordinate with CAE analysts and other engineering teams to resolve model-building and integration issues.
• Follow established modeling standards, quality procedures, naming conventions, and project-specific guidelines.
• Ensure timely delivery of high-quality crash models while maintaining accuracy and consistency across different vehicle or subsystem programs.

Must-Have Skills

• 2–5 years of relevant experience in CAE model building, preferably in automotive crash simulation.
• Strong hands-on experience in model build for Crash applications.
• Proficiency in ANSA preprocessor.
• Strong understanding of meshing and finite element model build.
• Experience creating and modifying simulation-ready models from CAD geometry.
• Good understanding of part connectivity and subsystem integration.
• Ability to troubleshoot model quality and connectivity issues independently.
• Familiarity with crash simulation modeling practices and engineering standards.

Good-to-Have Skills

• Practical exposure to CAD geometry and interpretation of engineering drawings/models.
• Experience working with LS-DYNA decks.
• Knowledge of LS-DYNA keywords, contacts, connections, and basic model setup.
• Experience creating, adding, replacing, or modifying components within existing CAE models.
• Exposure to automotive body, BIW, interior, or vehicle crash simulation projects.
• Understanding of different mesh types, element quality criteria, and model validation techniques.
• Ability to work effectively with cross-functional CAE and engineering teams.

Qualifications

• Bachelor’s degree in Mechanical Engineering, Automobile Engineering, Aerospace Engineering, or a related discipline.
• 2–5 years of hands-on experience in CAE preprocessing and crash model building.
• Strong analytical and problem-solving skills with attention to detail.
• Good communication and collaboration skills.
• Ability to manage multiple model-building activities and deliverables within defined timelines.

Apply

Apply at Weekday AI

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