Nous rejoindre, c'est intégrer une entreprise d'envergure mondiale. Mû par la recherche permanente de l'innovation et de l'excellence, pionnier et leader des technologies propres et de la mobilité durable, le Groupe entend rester à la pointe des grandes tendances qui font bouger le monde. Fort de son efficience, de son agilité et de son esprit d'équipe, le Groupe fait preuve d'exigence et d'audace pour définir la mobilité de demain. Pour réussir ces transformations, l'entreprise a besoin de tous les talents. Rejoignez-nous ! Chez Stellantis, nous évaluons les candidats selon leurs qualifications, leurs mérites et les besoins du métier. Nous accueillons les candidatures des personnes de tout genre, âge, ethnie, nationalité, religion, orientation sexuelle, et handicap. La diversité de nos équipes nous permettra de mieux appréhender l'évolution des besoins de nos clients et de notre environnement futur.As the world is evolving to be connected, Stellantis recognizes that technology is going to disrupt the automotive industry significantly in the next decade. Our organization is seeking high potential, technology game changers to digitally transform the company with a focus on the customer experience. Stellantis's Software Organization (SWx) was established to build the most captivating experiences in the latest frontiers of Automotive Technology. As part of that foundation we are investing to rapidly grow our capabilities within the field of Automated Driving. We are seeking an Automated Driving Virtual Validation engineer working on Statistical Validation and Functional Reprocessing for L2-L3 test activities. Statistical Validation is a new branch of Core SW Virtual V&V that is out to validate the Statistical requirements of L2+/L3 features. In Statistical Validation, it is expected to identify the requirements that need to be tested with a variation of different input parameters and create the Logical Scenarios to evaluate the requirements. In this area we require an engineer with a background in computer science focusing on simulations in ADAS/AD and preferably, with a demonstrated knowledge of Validation Process. The nominated engineer will have a chance to collaborate with a global team working on a very new and challenging task to discover the Statistical Validation and Functional Reprocessing areas. The ideal candidate for this position is a self-productive person who can create the test cases in statistical validation and validate it through local simulations and the toolchains. He/she will need to be able to write the test cases in python and debug and resolve the test issues with required tools. He/she will need to evaluate the new possible pipelines entering the company. He/she must provide structured feedback to the team lead and support the team for resolving the problems for new statistical test cases. Basic Qualifications: Bachelor of Science in Computer Science, Electrical, Mechanical Engineering or equivalent engineering degree from an ABET accredited university 2 or more years of experience in software DevOps or CI/CD Proved experience using simulators or commercial simulation tools for ADAS/AD, 3 years of proactive coding experience in C++, Python Demonstrated knowledge about software testing toolsets and languages. Preferred Qualifications: Master of Science in Computer Science, Electrical, Mechanical Engineering or equivalent engineering degree from an ABET accredited university Demonstrated knowledge of ADAS/Autonomous Driving features and relative electronic architectures Demonstrated knowledge of Json , OpenScenario and OpenDrive Scenario files Experience in using the simulator's API using python to interact with the simulator Demonstrated knowledge of test platforms such as Software and Hardware in the Loop 3 or more years of experience in AD scenario based simulation, either based on open source Familiar with software DevOps or CI/CD environment and test tools: Docker, Airflow, Jenkins Experience in C++ and QEMU emulation test Demonstrated Knowledge of Matlab/simulink Carsim,