Modeling Engineer - MBD and ADAMS

Job Title: Multibody Simulation (ADAMS) Engineer

Location: Novi, MI

Employment Type: Full-Time / Onsite

Position Overview:

We are seeking a Multibody Simulation (MBD) Engineer with strong expertise in ADAMS/Car and Virtual Road Load Data (vRLDA) generation to support full-vehicle dynamics, load prediction, and NVH analysis. The ideal candidate will have hands-on experience building, correlating, and analyzing complex vehicle models to deliver high-quality simulation results that drive robust vehicle design decisions.

Key Responsibilities:

• Develop and maintain high-fidelity full-vehicle ADAMS/Car models including tire models (F-Tire) and digitized road profiles.
• Generate time- and frequency-domain loads/forces using vehicle simulations for durability and NVH studies.
• Perform NVH load cascade analyses using RLDA measured spindle inputs.
• Conduct Ride & Handling analyses using MSC ADAMS/Car and interpret results to support chassis and suspension design.
• Execute static and dynamic load generation studies using ADAMS/Car and ADAMS/View environments.
• Create and maintain macros and scripts to automate simulation tasks, ensuring efficiency and repeatability.
• Collaborate with design and test teams to correlate simulation results with physical measurements at subsystem and full-vehicle levels.
• Support the development of system-level mechanism simulation models for vehicle performance prediction.

Required Skills & Qualifications:

• Bachelor’s or master’s degree in mechanical, automotive, or aerospace engineering or a related field.
• 3–8 years of experience in Multibody Dynamics (MBD) simulation for automotive applications.
• Hands-on experience with MSC ADAMS/Car, ADAMS/View, and F-Tire modeling.
• Strong understanding of vehicle dynamics, NVH load analysis, and RLDA techniques.
• Experience with macro scripting (e.g., Python, MATLAB, or ADAMS commands) for automation and data processing.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work in a cross-functional environment involving design, testing, and simulation teams.