CS26 - Bac+5 - Planification de trajectoire par optimisation (H/F)

CS26 - Bac+5 - Planification de trajectoire par optimisation (H/F) page is loaded CS26 - Bac+5 - Planification de trajectoire par optimisation (H/F)locations: Guyancourttime type: Full timeposted on: Posted Todaytime left to apply: End Date: July 1, 2026 (30+ days left to apply)job requisition id: JOBREQ\_ Company AMPERE SOFTWARE TECHNOLOGY Job Description Contexte et environnement de travail Renault poursuit son engagement envers les jeunes au travers de la formation par l'alternance et les stages. Cette politique volontariste positionne Renault comme un des contributeurs majeurs au développement de l'apprentissage en France. Dans le cadre de votre stage, vous serez suivi par le service Emploi, compétences et Politiques Jeunes et plus particulièrement au sein des relations écoles et de la marque employeur de Renault.Dans le service de développement SW d'aide à la conduite (ADAS), on ne fait pas juste des PowerPoints sur " l'avenir ", Tes missions Tu es en dernière année d'école d'ingénieur ou de master, avec une passion pour la robotique et la programmation qui fait exploser les compteurs. Les mots " algèbre ", " calcul " et " modélisation " ne te font pas peur, au contraire, tu t'en sers au petit-déj. Tu maîtrises C++, C, Python (et tu sais que ce n'est pas juste un animal). Et évidemment, tu as envie de mettre les mains dans le cambouis pour façonner la mobilité du futur avec une équipe aussi exigeante que bienveillante. Ce que tu gagnes Un stage de 5 à 6 mois au Technocentre de Guyancourt (où tu croiseras peut-être des véhicules pas encore dans la rue). La chance de voir ton code influencer - pour de vrai - la prochaine génération de véhicules Renault. Des collègues qui adorent autant les algorithmes que les blagues de roboticien nes. L'opportunité de monter en compétences, de booster ton CV et, soyons honnêtes, de te faire un réseau en or massif. English version : ContextIn the context of the Systems Engineering, you will join the "AMS-DT" service and join the team of "Advanced algorithms of data fusion and autonomous driving", which oversees the development of the new driving assistance systems that will be part of the next vehicles in Renault's series production, all in view of the Autonomous Vehicle development.ObjectivesAutomated driving technologies are getting more complex and increasing their capabilities. The percentage of vehicles that include Advanced Driving Assistance Systems (ADAS) is also growing significantly. Motion planning and vehicle dynamics control algorithms are of the main enablers of these systems, and must guarantee a safe, robust and optimal closed-loop performance despite perturbations and uncertainties. Motion planning systems process the vehicle and environment states, to compute the optimal vehicle kinematic trajectory and execute it, considering design requirements and safety constraints. At the core of motion planning systems are numerical solvers, which are widely used mathematical tools that solve an optimization problem to converge to an optimal solution every execution, respecting imposed state constraints and tracking desired objectives specific to each maneuver.The first objective of this internship is to build an environment to implement and evaluate different available numerical solvers, their benefits and drawbacks. This will serve as the foundation framework upon which we can analyze in detail the performance of each numerical solver with different standard models, optimization problems, objectives and constraints. The second objective of this internship is to integrate the numerical solvers in our main motion planning project used in a Model Predictive Control (MPC) approach to handle the motion planning on the longitudinal axis. The implemented system must be able to handle ACC functional behavior, comprehending use cases such as speed cruise control, car-following, cut-in and cut-out. The internship will hence require strong knowledge of algebra, calculus and robotics, as well as confirmed skills on modelling, programming and simulation. Job Family Research & Development Contract Duration 6 monthsRenault Group is committed to creating an inclusive working environment and the conditions for each of us to bring their passion, perform to the full and grow, whilst being themselves. We find strength in our diversity and we are engaged to ensure equal employment opportunities regardless of race, colour, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, etc. If you have a disability or special need requiring layout of the workstation or work schedule, please let us know by completing this form.In order to follow in real time the evolution of your applications and to stay in touch with us, we invite you to create a candidate account. This will take you no more than a minute and will also make it easier for you to apply in the future.By submitting your CV or application, you authorise Renault Group to use and store information about you for the purposes of following up your application or future employment. This information will only be used by Renault Group companies as described in the . Our Purpose