Multidomain Simulation Modeling Lead

Stellantis•Auburn Hills, MI

10d

About The Position

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.

Requirements

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.

Nice To Haves

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.

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.