CAE Engineer AB

Joysonsafety•Hockessin, DE

About The Position

Joyson Safety Systems is seeking an experienced CAE Engineer to join its Americas CAE & Systems Performance team. The role supports research, development, validation, and optimization of automotive safety systems, including airbags, seatbelts, steering wheels, and related occupant protection technologies. The engineer uses simulation and testing methodologies to evaluate product performance, support new product development, and deliver solutions that enhance vehicle safety, working with cross-functional engineering teams and global customers. The position involves developing finite element models, performing CAE analyses, correlating models with physical test results, and recommending design improvements. The engineer also supports testing and model validation, conducts optimization studies, presents technical findings, and contributes to improving CAE methods and workflows, including AI-assisted processes where appropriate.

Requirements

  • Bachelor's degree in Mechanical Engineering or a related engineering discipline.
  • 5–10 years of experience applying mechanics, material science, finite element modeling, and CAE simulation principles in the automotive, transportation, or a related industry.
  • 5–10 years of hands-on experience performing structural, durability, crashworthiness, occupant safety, fatigue, or CFD analyses for mechanical components and systems using HyperMesh, LS-DYNA, HyperWorks, or equivalent commercial CAE software.
  • 5–10 years of experience developing, correlating, validating, and optimizing CAE models for automotive components or systems.
  • Required software experience with HyperMesh/HyperWorks, LS-DYNA, and Primer.
  • Strong analytical and problem-solving skills, including the ability to interpret complex simulation and test data and turn findings into actionable engineering recommendations.
  • Excellent verbal and written communication skills, including the ability to present technical information to cross-functional teams, leadership, and customers.
  • Ability to work effectively in a collaborative, fast-paced engineering environment while managing multiple projects and priorities.

Nice To Haves

  • Master's degree in Mechanical Engineering, Biomechanics, Crashworthiness, Biomedical Engineering, or a related field.
  • Experience with airbag and seatbelt modeling, restraint systems, occupant protection systems, and test correlation.
  • Experience supporting automotive OEM and Tier 1 development programs.
  • Knowledge of vehicle safety standards, crashworthiness principles, occupant protection systems, and product development processes.
  • Preferred software experience with PAM-CRASH, SimFolder, MADYMO, RADIOSS, or OptiStruct.
  • Python, TCL, or other CAE automation/scripting tools.
  • Statistical analysis and DOE methodologies.
  • Experience with AI-enabled engineering workflows.

Responsibilities

  • Develop 3D finite element models of restraint system components and subsystems using HyperMesh and other commercial pre-processing tools, following internal and customer modeling standards.
  • Perform CAE simulations and analyses for airbags, seatbelt systems, steering wheel systems, structural integrity and durability, occupant restraint performance, and product optimization.
  • Correlate CAE models with physical test results and recommend design improvements for performance, manufacturability, and robustness.
  • Analyze component- and system-level test data, high-speed video, and test reports to support model development and validation.
  • Conduct Design of Experiments (DOE), parameter studies, and optimization analyses to improve product performance and engineering efficiency.
  • Partner with product design, systems engineering, testing laboratories, and customer engineering teams to support development programs and resolve technical challenges.
  • Present simulation results, technical conclusions, and design recommendations to engineering teams, management, and customers.
  • Improve CAE methodologies, automation tools, workflows, and best practices, including implementing AI-assisted engineering processes where appropriate.
  • Support the development and validation of material and component models in collaboration with laboratory testing teams.
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