Senior Crash CAE Engineer — BiW Simulation & Dataset Lead

Employ Africa Group; Durban; Vor Ort; ZAR 600.000 - 900.000; Vollzeit

Zusammenfassung

A leading engineering firm based in Durban is seeking a senior-level professional to own crash simulation methodology. The candidate will define simulation strategies and validate models for machine learning applications. Responsibilities include leading LS-DYNA model adaptations, defining simulation protocols, and ensuring model validation against known test data. Ideal candidates will have deep expertise in vehicle crash CAE, strong skills in LS-DYNA or OpenRadioss, and a proven ability to manage the entire simulation process. A background in physics and automation scripting is a plus.

Qualifikationen

• Deep expertise in vehicle crash CAE, structural impact, or explicit dynamics simulation.
• Proven track record validating FE models against physical crash test data.
• Expert-level knowledge of crash physics and energy absorption.

Aufgaben

• Own FE model development and validation strategy for parametric BiW crash simulations.
• Lead conversion of LS-DYNA models into OpenRadioss-compatible decks.
• Define simulation protocols across multiple load cases.

Kenntnisse

Vehicle crash CAE

LS-DYNA

OpenRadioss

ANSA

META

Jobbeschreibung

About the Role

A senior-level role for someone who can own crash simulation methodology end-to-end. You'll define the simulation strategy, validate FE models against known test data, and set the quality bar for a large synthetic crash dataset powering machine learning surrogate models.

What You'll Do

• Own FE model development and validation strategy for parametric BiW crash simulations
• Lead conversion and adaptation of existing LS-DYNA models (CCSA Camry-class vehicles) into OpenRadioss-compatible decks via ANSA
• Take a parametrically designed BiW and automate the setup in ANSA
• Define simulation protocols across multiple load cases: frontal rigid wall, MPDB, small overlap oblique, side pole, and roof crush
• Establish spot weld and structural connection modeling standards across the full BiW assembly (pattern, failure criteria, element formulation)
• Ensure energy balance, mass scaling, and hourglassing are within acceptable bounds across every run
• Build or supervise automated META post-processing pipelines to extract structured, ML-ready outputs
• Act as technical bridge between the simulation team and the ML engineering team

Requirements

• Deep expertise in vehicle crash CAE, structural impact, or explicit dynamics simulation
• Deep expertise in LS-DYNA and/or OpenRadioss / AltairRadioss — fluent in at least one, willing to bridge both
• Expert-level ANSA pre-processing: connections, mesh morphing, load case setup, model validation
• Expert-level META post-processing: automated results extraction, force-displacement curves, intrusion measurements
• Proven track record validating FE models against physical crash test data
• Deep understanding of vehicle crash physics: crush zone behavior, load path management, energy absorption, occupant cell integrity

Nice to Have

• Direct experience generating simulation datasets for ML or surrogate modeling applications
• Python scripting for pre/post-processing automation
• Understanding of how parametric CAD variation affects simulation setup
• Experience with NHTSA, IIHS, or Euro NCAP testing protocols
• Prior work with NCAC / CCSA open-source vehicle FE models