CAE Engineer / Analyst- Pedestrian Safety & Component Crash CAE

Maruti Suzuki India Ltd.; Gurugram District; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Maruti Suzuki India Ltd. in Gurgaon is seeking a CAE Engineer/Analyst for Pedestrian Safety and Component Crash CAE.

The role focuses on creating full vehicle CAE models and evaluating protection performance across sub-systems. You will work with HyperMesh, ANSA, PRIMER for meshing and assembly, run LS-DYNA simulations for pedestrian protection and component strength, and optimize designs using HyperStudy and LS-OPT.

Qualifications

• BE / BTech in Mechanical engineering is essential.
• ME / MTech in Mechanical Design or equivalent is desirable.

Responsibilities

• Prepare full vehicle CAE models using HyperMesh/ANSA/PRIMER for sub-systems and components.
• Conduct Component Strength and Pedestrian CAE simulations using LS-DYNA; develop body structures and aggregates for Pedestrian protection and component strength.
• Model optimization and robustness studies using HyperStudy, LS-OPT, etc.
• Interpret CAE results using LS-PrePost/HyperView/Hypergraph; identify failure modes and propose countermeasures from parameter studies.
• Prepare reports and communicate results to design and testing teams for implementation of countermeasures.
• Collaborate with testing teams to analyze failures and improve CAE correlation with physical tests.

Skills

Strength of Materials

Elasticity/Plasticity

Pedestrian safety

CAEs reference knowledge

Familiarity with testing correlation

Communication with stakeholders

Education

BE / BTech (Mechanical)

ME / MTech (Mechanical Design)

Tools

HyperMesh

ANSA

PRIMER

LS-DYNA

HyperStudy

LS-OPT

LS-PrePost

HyperView

Hypergraph

Python

TCL

Job description

CAE Engineer / Analyst- Pedestrian Safety & Component Crash CAE

Job Type Full-time

Job Location Gurgaon

Experience 3 - 6 Years

Job Title: CAE Engineer / Analyst- Pedestrian Safety & Component Crash CAE

Background

i) Educational Qualification

Essential: BE / B Tech (preferably Mechanical)

Desirable: ME / M Tech (preferably Mechanical Design or equivalent)

ii) Experience

Minimum: 03 Maximum: 06

Job Role & Responsibilities:-

Role: Pedestrian Protection and Component Crash CAE Simulation & Evaluation

Responsibilities:

• Prepare full vehicle CAE models using HYPERMESH/ANSA/PRIMER – Mesh discretization, Assembly, Constraints & Load setting – for automotive sub-systems and components.
• Component Strength and Pedestrian Safety CAE simulations using LS-DYNA software. Development of vehicle body structures and aggregates for Pedestrian protection & Component strength (SBA, ISOFIX, etc.,)
• Model optimization and Robustness using Hyperstudy, LS-OPT etc.
• Interpretation of results in LS-PrePost/ HyperView/ Hypergraph - comprehend failure modes and provide directions for countermeasures by performing parameter studies on the FEM model.
• Report preparation and communication with stakeholders – design, testing – for implementation of countermeasures.
• Interact with testing teams for analyzing failures, correlation of CAE results with physical testing and make improvements in CAE for better correlation.

Competency Requirements

Technical / Functional

• Strong knowledge of Strength of Materials, Theory of Elasticity/Plasticity, and Automotive Body, Sheet Metal, and Plastic Part Design.
• Understanding of AIS Safety Regulations and NCAP protocols.
• Knowledge of finite element analysis and Hands-on experience in Pedestrian protection and component crash CAE simulations, including SBA, luggage retention, ISOFIX, and related safety performance evaluations.
• Experience in Crash CAE model building and system-level simulations. Full-vehicle crashworthiness simulation expertise will be an added advantage.
• Debug the CAE model for LS-Dyna environment, interpret the results, post process the deck and report to functional manager.
• Proficiency in FEA result analysis, post-processing, and preparation of technical reports with design improvement recommendations.
• Familiarity with physical testing and correlation of test conditions with CAE simulations.
• Exposure to AI/ML applications in CAE (preferred). Knowledge of automation scripting using Python and/or TCL.