Job ResponsibilitiesSimulation Platform Development & Delivery
Develop and maintain the simulation framework for XIL platforms by enabling testing capability, ensuring scalability and modularity to support validation workflows across different domains.Develop and maintain automation scripts and CI/CD pipelines for building simulation artifacts and frameworks, optimizing end‐to‐end workflows and enabling automated cloud deployment.Support configuration, troubleshooting, debugging, and optimization of XIL virtual platforms, ensuring consistency across teams and development programs.Develop virtual test platforms, covering environment and traffic models, physical‐based and data‐driven plant models, soft ECUs, and virtual ECUs for multiple domains (ADAS / AD, Powertrain, Body, Digital Cockpit, Connected services, ...).Ensure meeting fidelity, performance, and integration requirements of simulation components and platforms through automated testing and correlation against real‐world data and/or higher‐fidelity models when needed.Integrate models, virtual ECUs, software components and hardware interfaces within the XIL simulation frameworks, and enable seamless integration with simulation tools (MATLAB / Simulink, CarMaker, dSPACE, NI, Vector, ...).Manage databases and repositories for simulation artifacts, ensuring traceability, versioning, and automated distribution.
Technical Leadership & Strategy
Support the strategy, roadmap, and methodological guidelines for virtualized ECUs, plant modeling and simulation framework.Benchmark industry tools, technologies, and best practices to drive continuous improvement.Develop technical documentation, standards, and training materials for global teams.
Cross‐Functional Collaboration
Support engineering teams in the setup, execution and debugging of simulation and validation activities.Collaborate with suppliers, tool vendors and global engineering teams to ensure consistency, interoperability, and performance of simulation platforms.Ensure alignment between simulation strategies and overall vehicle development processes.
RequirementsSkills and Basic Qualifications
Master's degree in Electrical / Electronic Engineering, Computer Engineering, Mechanical Engineering or a closely related field.3+ years of experience in virtual test platforms (MIL, SIL, HIL) and software / system development and/or integration across automotive domains (ADAS / AD, Propulsion, Chassis, ...).A proven track record in agile software testing, test‐driven development and continuous integration (e.G. Jenkins, TeamCity, GitHub Actions, ...).Experience with modern build systems and automation tools (e.G. Bazel, CMake, ...).Experience with operating system virtualization (e.G. Docker and Kubernetes).Knowledge of open modeling and simulation standards such as FMI (Functional Mock‐up Interface), SSP (System Structure and Parameterization), and ASAM standards.Good programming skills in object‐oriented languages (e.G. Python, C#, C++, ...).Experience with model‐based development (MBD) methodology and tools such as Matlab / Simulink.Knowledge of ECUs virtualization, co‐simulation and system integration toolchains (i.E. dSPACE, ETAS, vVirtualTarget, ...).Good understanding of embedded software development (C, C++), AUTOSAR software architecture, auto code generation process and tools.Experience with Linux OS, Git / GitHub or other versioning tools.Knowledge of automotive communication buses, protocols (CAN‐FD, SOME/IP, ...) and related analysis tools.Excellent communication, collaboration, analytical and problem‐solving skills.
Preferred Qualifications
A Ph.D. in a related field.Knowledge of cloud infrastructures, services (e.G. AWS, Azure, Google Cloud), and Infrastructure‐as‐Code (IaC) tools such as Terraform, Ansible, ...Knowledge of Model‐Based Systems Engineering (MBSE) methodology.Knowledge of software design methods and quality standards (e.G. MISRA, A‐SPICE).Experience with ECUs virtualization, co‐simulation and system integration toolchains (i.E. dSPACE, ETAS, vVirtualTarget, ...).Experience in modeling and simulation of physical‐based models for automotive XIL platforms.Experience with dSPACE products and test automation tools (e.G. ECU‐TEST, Robot Framework, ...).Expertise with simulation software for self‐driving cars (e.G. Carla, CarMaker, dSpace).Exposure to machine / deep learning and AI algorithms.Strong foundational experience with Agile, Scrum and DFSS Methodologies.
At Stellantis, we assess candidates based on qualifications, merit and business needs. We welcome applications from people of all gender identities, age, ethnicity, nationality, religion, sexual orientation and disability. Diverse teams will allow us to better meet the evolving needs of our customers and care for our future.#J-18808-Ljbffr