Crash Analyst - Vehicle structure front/...

BMW TechWorks India Private Limited; Pune District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

BMW TechWorks India Private Limited in Pune seeks a Crash Analyst to drive CAE modelling and simulation for vehicle structure front/rear across the development lifecycle.

The role demands 5–14 years of experience in full-vehicle passive safety programs, with strong LS-DYNA/Pam-crash expertise and CAE-test correlation across major OEM programs.

Proficiency with ANSA/META post, LS-Pre-Post, HyperWorks and optimization tools is highly desirable for this position.

Qualifications

• Strong CAE experience with vehicle structure and crashworthiness.
• Proficient in CAE preprocessing and postprocessing tools.
• Experience with data interpretation and result validation.

Responsibilities

• Perform CAE modelling and simulation with focus on vehicle structure front/rear across the development lifecycle.
• Lead full-vehicle passive safety programs from concept to virtual validation and NCAP testing.
• Demonstrate CAE–test correlation across major OEM programs and regulatory standards.
• Utilize CAE tools (ANSA/META post, LS-Pre-Post, HyperWorks) and optimization tools (LS-OPT, OptiStruct, Nastran).
• Collaborate with interdisciplinary teams to ensure accurate crashworthiness assessments.

Skills

LS-DYNA

ANSA

Python

Education

BTECH

Tools

HyperWorks

LS-OPT

Job description

Crash Analyst - Vehicle structure front/...

BTWI/CA-VS-E/1829534

• Digital Product Engineering
• Pune

Posted On 13 Aug 2026

End Date 15 Sep 2026

Required Experience 5 - 14 years

Skills

Skill

LS-DYNA ANSA Animators Python

BTECH

Job Description

Role

Crash Analyst – Vehicle Structure front/rear

• Perform CAE (Computer-Aided Engineering) modelling and simulation with focus on v ehicle s tructure front/rear , across the development lifecycle
• Extensive experience on full vehicle passive safety structural crashworthiness development programs from concept to virtual validation in CAE, afterwards those same vehicles for passive safety (data acquisition, sensing, validation, homologation and official NCAP) vehicle crash tests
• Strong expertise in LS-DYNA and Pam-crash crash simulations, including full vehicle, interior and exterior component level validations across Euro NCAP, FMVSS, AIS, ECE and RCAR regulations
• Proven CAE–test correlation and simulation expertise across major OEM programs
• Comprehensive understanding of automotive passive safety crash test regulations pertinent to v ehicle s tructure - front/rear
• Euro NCAP accredited lab experience, managing end to-end passive safety testing and simulation experience desirable
• Should be highly skilled with CAE preprocessor tools (ANSA/ META post, Ls-Pre-Post, Hyper works), CAE simulation software (LS-DYNA, Pam-crash) and optimization tools (LS-OPT, Opti struct, Nastran desirable)

What should you bring along

Must Have Skills:

• Strong and proven experience in CAE (Computer-Aided Engineering) along with validation expertise
• Highly skilled with CAE preprocessor tools (ANSA/ META post, Ls-Pre-Post & Hyper works), CAE simulation software (LS-DYNA, Pam-crash) and optimization tools (LS-OPT, Opti struct, Nastran desirable)
• Demonstrated problem-solving skills using CAE methodologies, including interpretation of results
• Effective communication and collaboration skills within interdisciplinary engineering teams

Must have technical skill

• Full vehicle crash development experience for v ehicle s tructure front/rear
• Highly skilled with CAE preprocessor tools (ANSA/ META post, Ls-Pre-Post & Hyper works), CAE simulation software (LS-DYNA, Pam-crash) and optimization tools (LS-OPT, Opti struct, Nastran desirable)

Good to have Technical skills

Good to Have Skills:

• Opti struct, Abaqus & Nastran experience is desirable
• Basic knowledge of Python for data processing or automation
• Understanding of Machine Learning and AI concepts, preferably applied to engineering or CAE use cases
• Interest in data?driven and intelligent CAE workflows