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VW. Two letters. Endless opportunities. A bright (link removed)novation. Sophistication. Optimization. This is our Passion.Worldwide, the Volkswagen Group has a long tradition of dramatic innovations. The Volkswagen Group with its headquarters in Wolfsburg is one of the world39;s leading automobile manufacturers and the largest carmaker in Europe. The Group comprises twelve brands from seven European countries: Volkswagen Passenger Cars, Audi, SEAT, KODA, Bentley, Bugatti, Lamborghini, Porsche, Ducati, Volkswagen Commercial Vehicles, Scania and MAN. Here in the US, we are blending German engineering with American ingenuity.As ADMT, we develop and realize fully autonomous mobility and transportation services. Our mission is to make mobility-and transportation-as-a-service safe, accessible and most attractive for society. For that, we cover the entire ground from strategy and business development, software development and end-2-end integration, fleet operations to next-generation self-driving systems. Being the driver in Volkswagen Group initiative for mobility solutions, we39;re an integral part of Volkswagen Group39;s future success.Artificial Intelligence Engineer Sr.reRole Summary:The Center of Excellence within the ADMT LLC focuses on applied research and pre-development with the goal to evaluate and/or develop and transfer innovative technology from industries and research institutions into the autonomous driving domain for technology/supplier decisions and to build the strategic base for a further development of a VW Group owned vertical integrated AD-stack. This specific role has the main focus areas:to know and understand the future of AI and to derive requirements on sensor technologies and compute architectures / technologiesto develop reference processes, methods and tools need to enable, scale and industrialize MaaS/TaaS applicationsto implement those and define KPI to evaluate and benchmark these enablers for autonomous drivingto conduct benchmarks and assessmentsto collaborate with internal and external partnersRole Responsibilities:Software Development and Testing (80%)Maintains, as well as furthers, and enhances existing machine learning modules for autonomous vehicles, not necessarily the software stack for driving but methods around industrialization of MaaS/TaaS and with that to increase availability of serviceDesigns and implements new machine learning based approaches based on existing frameworksKeeps up to speed with the state of the art of academic research and technology in the industryTests developed modules in the prototype vehicle (unit tests, integration tests, in-vehicle/field tests, etcAnalyzes and evaluates conducted testsPresents project/progress reports and presentations to top management, mentors, partners, and project affiliatesTransfers technologies and solutions to ADMT GmbH, CARIADManages and coordinates the tech scouting processNetwork Development (10%)Expands research network between ADMT LLC and local entitiesInitiates and implements partnerships with external partners (companies, research institutions, universities) within Silicon Valley and USTransfers project outcomes to internal Volkswagen Group partners (ADMT GmbH, CARIAD)Communicates regularly and influences partners in GermanyStrategic Management (10%)Secures intellectual propertyQualifications - ExternalYears of Relevant Experience:7+ yearsEducation - Required:BA Degree in Computer Science or equivalentEducation - Desired:MA or PhD strongly preferredSkills:Strong technical background of different machine learning algorithmsStrong project management and business development skillsCommunication & documentation skillsProblem solving skillsAnalytical skillsConceptual thinking skillsIntegration - joining people, processes or systemsExcellent verbal and writing skillsDetailed knowledge of autonomous driving and software technologiesStrong attention to detailSpecialized Skills - Required:Software and Artificial Intelligence (AI) technologies & technical skillsBackground in Deep Neural Network Learning, Computer Vision and Machine LearningStrong programming skills with Python and TensorFlow/Pytorch PyTorch on on-premises compute and public clouds (e.g. AWS), Knowledge of generating features from sensor technology like camera, lidar, radar, GPS/ D-GPS and HD mapsExperience with data gathering, data quality, system architecture, coding best practicesTake initiative to launch projects with the ability to quickly learn and develop own ideas in an interdisciplinary environmentExtracting high level logical structure from low level, multi-dimensional dataExperience with different types of Neural Networks such as Transformers, CNNs, RNNLLMs, LSTMs, GNNs,Experience with different Client paradigms such as supervised/unsupervised learning, reinforcement learning, self-supervised learning, and imitation learning paradigms and the latest research trendsSpecification/Documentation of interfaces between software modules.Programming languages/tools as Python, C++, Python, LaTex, Bash, Cmake, Git, Linux, familiar with data structures and algorithms, machine learning and mathKnowledge in using open-source libraries: OpenCV, OpenGL, TensorRT, Open3D, CUDA, Open3D, PCLProject Management & leadershipExperience running one or more projects simultaneously.Project managing tasks - manage timelines, budgets, resource planning, risk etc.Effective at communicating with teams across cultures and in different times zonesSpecialized Skills - Desired:Experience with algorithm development for Autonomous Driving tasks including Perception, Sensor Fusion, Motion Prediction, Path Planning, End-to-End Driving, Simulation, V2XExperience with current state-of-the-art technologies such as Vision-Language Models, Neural Radiance Fields, Embodied AI, Deep Sensor Fusion, Generative AIExperience with AI/Client compute optimization techniques such as quantization, knowledge distillation, compilation, sparse computing.Experience in programming concepts: Data filters/pipelines, multi-threading, programming for various types of SoC, real-time systems.Experience in a regulated industries such as automotive, aerospace, medical devices etc.Experience in one or more of the following technical areas:Compute architectures and technologies.Sensor technologiesRoboticsBroad knowledge of full vehicle interrelationships automotive systems and interfaces between themHigh level of engagement and self-initiative