Multidomain Simulation Modeling Lead

Stellantisfinancialservices; Auburn Hills (MI); On-site; USD 110,000 - 140,000; Full time

Job summary

Stellantis Financial Services seeks a Multi-Domain Simulation Lead to drive system-level co-simulation across vehicle and powertrain domains. The role centers on integrating MATLAB/Simulink with GT-Power and AMESim, defining architectures, and ensuring robust, scalable models for cross-program use.

You will lead technical activities, set integration standards, and guide teams through complex multi-domain challenges to accelerate virtual engineering before prototypes exist.

Qualifications

• Bachelor's degree in engineering or related field.
• 7+ years in system-level or multi-domain simulation.
• Experience with MATLAB/Simulink development and debugging of large models.
• Experience coordinating model integration across multiple tools.

Responsibilities

• Lead development and integration of multi-domain simulation models (vehicle and powertrain).
• Oversee co-simulation of MATLAB/Simulink with GT-Power and AMESim models.
• Define architectures and interfaces for cross-domain model data exchange and execution.
• Govern model architectures, shared libraries, and integration standards for scalability.
• Plan and coordinate thermal, driveability, and durability activities across teams.
• Provide technical guidance and review for complex co-simulation issues.
• Diagnose cross-domain model behavior between engine, transmission, electric machine, battery, and thermal systems.
• Define validation and correlation strategies for robust co-simulated results.
• Support internal users by triaging and resolving system-level co-simulation issues.
• Drive continuous improvement of model robustness and computational performance.

Skills

MATLAB/Simulink

Co-simulation

System-level modeling

Technical leadership

Powertrain knowledge

Education

Bachelor's in Mechanical/Electrical/Controls/Systems

Master's degree (preferred)

Tools

GT-Power

AMESim

Job description

Multi-Domain Simulation Lead

The Multi-Domain Simulation Lead is a technical leadership role within the VSIM – STLASim Core Tool Development team. STLASim is Stellantis' common system simulation platform used across global vehicle programs to support the design, development, and validation of conventional, hybrid, and battery electric vehicles.

This position leads the development and integration of multi-domain simulation solutions, including the co-simulation of MATLAB/Simulink, GT-Power, AMESim and other detailed models, enabling engineers to evaluate vehicle and powertrain performance through virtual engineering techniques before physical prototypes are available.

Responsibilities:

• Leading the development and integration of system-level, multi-domain simulation models that represent complete vehicle and powertrain behavior, including mechanical, electrical, thermal, and control systems.
• Owning the integration and co-simulation of third‑party physics-based tools, such as GT-Power engine and thermal models and AMESim driveline and system models, within a MATLAB/Simulink‑based simulation framework.
• Designing and maintaining co‑simulation architectures and interfaces that enable consistent data exchange, synchronization, and execution between MATLAB/Simulink, GT-Power, and AMESim models.
• Defining and governing model architectures, shared libraries, and integration standards to ensure scalability, reuse, and consistency across multiple vehicle and powertrain configurations.
• Planning, prioritizing, and coordinating thermal, driveability and durability activities across internal teams and external contributors.
• Leading MATLAB/Simulink‑based multi‑domain development through a combination of technical guidance, code and model review, and direct development involvement when required to address complex or critical issues.
• Acting as the primary technical authority for cross‑domain model behavior, including diagnosing and resolving issues arising from interactions between engine, transmission, electric machine, battery, thermal, and vehicle systems.
• Defining and executing validation and correlation strategies to ensure co‑simulated results are robust, repeatable, and suitable for engineering decision‑making.
• Supporting internal engineering users by overseeing issue triage and resolution related to system‑level and co‑simulation behavior.
• Driving continuous improvement of model robustness, computational performance, and complexity management to enable scalable simulation across multiple vehicle programs.

Basic Qualifications:

• Bachelor's degree in Mechanical Engineering, Electrical Engineering, Controls Engineering, Systems Engineering, or a related engineering field.
• 7+ years of experience developing system-level or multi-domain simulation models for complex engineered systems.
• Strong hands‑on experience with MATLAB and Simulink, including development, integration, and debugging of large-scale system models.
• Experience with co‑simulation and tool integration, including coupling GT-Power engine/thermal models and AMESim driveline or system models with MATLAB/Simulink.
• Experience defining and maintaining co‑simulation interfaces, data exchange mechanisms, and model execution workflows across multiple simulation tools.
• Demonstrated experience leading technical activities involving model integration, validation, and cross-domain simulation.
• Strong analytical, problem‑solving, and technical communication skills.

Preferred Qualifications:

• Master's degree in Mechanical Engineering, Electrical Engineering, Controls Engineering, Systems Engineering, or a related engineering field.
• Experience in a technical lead or engineering team lead role with responsibility for model architecture, integration standards, and technical direction.
• Experience developing vehicle-level simulation solutions for conventional, hybrid, plug‑in hybrid, or battery electric vehicles.
• Experience defining and governing shared modeling libraries, reusable components, and simulation development standards.
• Experience coordinating work across global engineering teams and external partners.
• Familiarity with powertrain systems, including engines, transmissions, electric machines, batteries, thermal systems, and vehicle dynamics.
• Experience improving simulation performance, scalability, and deployment of large engineering model frameworks.