Digital Design

Company Overview: Stellantis is a leading global automaker and mobility provider that offers clean, connected, affordable and safe mobility solutions. Our Company's strength lies in the breadth of our iconic brand portfolio, the diversity and passion of our people, and our deep roots in the communities in which we operate. Our ambitious electrification and software strategies and the creation of an innovative ecosystem of strategic, game-changing partnerships are driving our transformation to a sustainable mobility tech company. The driving force behind us is the diverse and talented group of men and women around the world who bring their passion and experience to their work every day. And while we are a truly global organization, we remain deeply rooted in the communities in which we operate and where our colleagues live and work. With industrial operations in nearly 30 countries, Stellantis could consistently exceed the evolving needs and expectations of consumers in more than 130 markets, while creating superior value for all stakeholders. JOB DESCRIPTION We are looking for an engineer with interdisciplinary expertise in materials science, applied mechanics, and numerical simulation, and a strong interest in Artificial Intelligence applications in engineering, to join our team focused on defining Build to Print methodologies, standards, and tools for the design of electrical wiring systems in the automotive sector. The primary responsibility of the candidate will be to define and implement AI-driven solutions to support both the design process and the project management of Build to Print activities. This includes leveraging AI tools (e.G., Copilot) to validate engineering deliverables before release to suppliers, with the goal of achieving first-time-right quality and reducing rework. In addition to AI integration, the candidate will contribute to the development of design validation and simulation models for analyzing cable flexibility and understanding the mechanical behavior of wiring harnesses in relation to the movement of connected components. Expert-level knowledge of IPS Cable Simulation by Flexstructure is required to effectively cover the Build To Print scope. Experience band: 3 to 5 years on automotive field, mainly on Wiring Harness Design. MAIN MISSION & ACTIVITIES Develop AI-driven workflows to validate Build to Print deliverables before supplier release, ensuring first-time-right quality. Identify and apply AI and data-driven solutions to automate repetitive tasks, improve design efficiency, and elevate overall product quality. Work closely with design teams to define and refine engineering Build To Print methodologies. Extend and optimize the use of IPS Cable Simulation to improve the robustness of engineering deliverables and proactively identify and resolve potential issues during the design phase. Support the standardization of simulation and design validation processes across all global Build To Print projects. Provide trainings on Build to Print for IPS cable, DFMEA and all necessary process workflow. REQUIREMENTS Technical Skills: Electrotechnics fundamental knowledge Materials Science Understanding of mechanical and electrical properties of materials used in wiring systems: Conductors: Copper, Aluminum Insulators: PVC, XLPE, Teflon, etc. Knowledge of aging, thermal, and mechanical stress behavior of materials in automotive environments. Simulation & Mechanical Analysis IPS Cable Simulation (Flexstructure) – Expert level knowledge required for cable dynamics and flexibility analysis. Finite Element Analysis (FEA) – Familiarity with tools such as Ansys, Abaqus, or Altair for structural and mechanical simulations. General Engineering & Productivity Tools Proficiency in Microsoft Excel for data analysis, reporting, and engineering calculations. Good command of the Microsoft Office Suite (Word, PowerPoint, Outlook) for documentation, presentations, and communication. Power BI – Not mandatory but considered a valuable plus for data visualization and reporting. Familiarity with CAD tools (e.G., Catia V6, NX) for mechanical context analysis. Artificial Intelligence & Automation Familiarity with AI tools (e.G., Copilot, GenerativeAI) applied to engineering workflows. Basic understanding of Machine Learning concepts and their application in design validation or data-driven decision-making. Python – Not mandatory, but considered a valuable plus for scripting, automation, and AI integration. Soft Skills: Fluent English (speaking and writing) is required Willingness to propose improvements and unconventional solutions. Attitude toward working in multidisciplinary teams, with openness to discussion and knowledge sharing. Precision in validating deliverables and defining technical standards 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. By submitting your application, you are accepting our privacy notice: