CAE Analyst - Multi-Body Dynamics

Job Title:

CAE Analyst – Multi Body Dynamics

U.S. Citizen or U.S. Permanent Resident allowing for International Traffic in Arms Regulations (ITAR) compliance.

The CAE Analyst II (Multi-Body Dynamics - MBD) performs multi-body dynamic simulations to solve real world engineering problems in the automotive, aerospace, entertainment, and industrial segments. The CAE Analyst II (MBD) builds engineering-dynamics models, runs simulations, generates reports, and presents the results to internal customers.

• Build MBD models for various applications in the automotive, aerospace, and entertainment industries using commercial CAE tools such as ADAMS.
• Run MBD simulations to convergence, postprocess results, and provide engineering analysis.
• Develop detailed reports to support customer presentations.
• Develop Python scripts for workflow automation.
• Learn new CAE tools and techniques quickly.
• Manage analysis files according to company data-retention policies.
• Collaborate with various groups within the CAE department to enhance predictive accuracy and reduce development cycles.
• Able to execute projects with minimum guidance, including direct communication with customers, and develop effective design solutions utilizing CAE tools.
• Effectively handle more than one project simultaneously, ensuring timely and high-quality deliverables.
• Support new technology and process development.

• Bachelor of Science in Mechanical or Aerospace Engineering with coursework in Kinematics, Dynamics, Vibration, and Numerical methods.
• 1-3 years of MBD modeling experience.
• Experience in Kinematics and Dynamics modeling.
• Knowledge of mechanical systems, 2D and 3D mechanisms, automotive suspensions, and vibration isolation principles.
• Good attention to detail and ability to use hand calculations and free body diagrams to validate input and results.
• Excellent problem-solving ability.
• Proficiency in multi-body simulation software (ADAMS, MATLAB, SIMPACK, etc.).
• Experience with full vehicle MBD models.
• Experience with real-world data integration and experimental validation.