Company Description
Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.
Job Description
About the Role :
We are looking for an experienced Vehicle Simulation Expert with a strong foundation in physics-based simulation models for heavy commercial trucks. You will be responsible for modeling critical subsystems such as suspension, braking, steering, powertrain, and full-vehicle dynamics, enabling a robust virtual platform for performance evaluation, system integration, and control development. This is a hands-on technical role where you will build simulation models from first principles, architect model libraries, and collaborate across mechanical, systems, controls, and testing domains. If you thrive on engineering challenges and are passionate about simulation-driven engineering, we’d love to meet you.
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.
Qualifications
Required Qualifications
- 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
