JMP_ Vehicle Simulation Expert – Truck Systems Modeling

• Key Responsibilities Model Development & System Integration • Develop high-fidelity, modular simulation models of truck systems, including: o Vehicle dynamics (longitudinal, lateral, and vertical) o Suspension systems (leaf, air, semi-active) o Braking systems (air brake components for truck & trailers) o Steering systems (hydraulic, electric, steer-by-wire) o Powertrain systems (ICE, hybrid, electric) o Tire and road interaction models (e.g., Pacejka or analytical formulations) • Implement and manage models using tools such as MATLAB/ Simulink/Simscape, AMESim, or custom frameworks using Python/C++, as appropriate.

• Architect models to support control algorithm development, design trade-off analysis, and system-level simulation.

• Ensure modularity and clear interface between subsystems to support full-vehicle integration and rapid iteration. Simulation Workflow & Validation • Validate and refine custom models using a combination of approaches: o First-principles modeling (Newtonian, Lagrangian) o Parameter identification (using test data or physical measurements) o Data-driven or grey-box approaches where suitable • Develop model architectures and simulation workflows for performanceprediction, control algorithm development (MIL/SIL), design optimization andtrade-off studies.

• Conduct ride and handling simulations, braking performance, and load transfer analyses.

• Perform model correlation and validation using component test data, full-vehicle measurements, or published benchmarks.

• Support virtual development of embedded control algorithms through MIL/SIL workflows, and real-time test setups.

• Automate simulation pipelines for sensitivity analysis, parameter tuning, and performance optimization.

• Interface with controls, systems, and test teams to support calibration, requirement validation, and vehicle-level integration. Toolchain Development & Innovation • Contribute to the development of internal simulation libraries and model architectures for reuse and scalability.

• Stay current with industry simulation trends, advanced modeling strategies, and relevant standards in the vehicle engineering domain.

• Proactively identify opportunities to improve model accuracy, simulation speed, or development workflows.

• Provide technical leadership and mentorship to junior simulation engineers, if applicable.

• Bachelor’s or Master’s degree in Mechanical, Automotive, Mechatronics, or a related engineering field.

• 5 – 10 years of experience in vehicle-level and subsystem-level simulation, preferably in the commercial/heavy-duty vehicle sector. o Strong understanding of Vehicle and Multibody dynamics, First-principles modeling, Vehicle performance metrics (ride comfort, stability, efficiency) • Proficiency in: o MATLAB/Simulink/Simscape for modeling and simulation workflows o Python/C++ scripting for automation or custom simulation logic • Experience in subsystem and system-level integration, focusing on steering, suspension, braking, powertrain, and vehicle dynamics.

• Demonstrated ability to correlate simulation results with test data and improve model fidelity.

• Familiarity with automotive testing methods, vehicle instrumentation, and test data correlation is a plus

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