Select how often (in days) to receive an alert:Architect AI Data Strategy - AI Architecture (m/f/d)We are CARIAD, the automotive software company of the Volkswagen Group. Our teams build automotive software platforms and digital customer functions for iconic brands like Audi, Volkswagen, and Porsche – supporting the Volkswagen Group in becoming the leading automotive technology company. With CARIDIANS in Germany, the USA, China, Estonia, and India, we are transforming automotive mobility for everyone.Join us and be part of this exciting journey!YOUR TEAMWithin AI-Architecture, we are enabling the CARIAD ADAS Stack to be AI-driven. For this, we are responsible for the deployment, optimization and performance management of our AI models and guide the overall CAS development in its AI-development.WHAT YOU WILL DOLead the conceptualization and implementation of CARIAD's Methodology for the combined usage of real world, synthetic and simulated data for development and validation of AI within Automated DrivingElicitate requirements for simulation, synthetic data generation, labling and overall data requirements based on safety requirements and validation needsAct as the leading expert with respect to hybid data sources for AI towards all expert teams (definition of Metrics, data requirements, statistical justification, alignment of AI Model development and systems engineering)Drive the CAS-strategy for training and validation data in close cooperation with AI and safety expertsPublish concept papers and steer the CAS development towards a cost-aware and efficient data approaches combining real world, synthetic and simulated dataContribute to the academic state-of-the-art and disseminate the progress in to CARIAD's work on their way towards end2end AIWHO YOU AREYou have a deep understanding of AI alogrithms that cover perception, behavior planning, situation understanding and planningYou are deeply knowledgeable about exisiting data sets its challenges and advantagesYou are deeply knowledgeable about exisiting toolchains for creating automated driving AI training and validation dataYou are deeply knowledgeable about the overall ADAS ML development process and the respective data requirements in particular towards representativeness of validation data - especially for end2end-AI-approachesYou bring solid experience in leading cross team activities in AI, software, and data-driven system developmentYou are knowledgeable with respect to Automated driving validation, statistics and the relevance of synthetic data for AI ValidationYou are experienced in implementation of POCs for AI KPIs in order to evaluate of novel conceptsYou are a strong technical communicator and can drive company-wide projects and process implementationsYou are results-driven and experienced in managing a complex KPI landscape across technical, operational, and business metricsNICE TO KNOWRemote work optionsTemporary work from abroad in selected countriesFlextime / optional working hoursCompany pension planSabbatical option up to 6 months30 days paid + 10 days unpaid leavePossibility for VW Group car leasingIf you have further questions about the candidate journey at CARIAD, please contact us: careers@cariad.technologyAt CARIAD, we embrace individuality and diversity because we believe our differences make us stronger. We actively seek to build teams with a variety of backgrounds, perspectives, and experiences. Our goal is to create an environment where everyone feels valued and empowered to contribute. If you need assistance with your application due to a disability, please reach out to us at careers@cariad.technology - we are happy to support you.Job ID: 18029Company: CARIAD SELocation:Ingolstadt, DE, 85053 München, DE, 80807 Berlin, DE, 10587 Wolfsburg, DE, 38442Department: Autonomous DrivingWorking Model: Full-timeContract Type: UnlimitedRemote Working: By agreementPosting Date: Oct 2, 2025Why CARIAD?We believe that how we work together is just as important as the technology we create. We strive to take action with a can-do attitude, and value speed over perfection. We aim to collaborate with mutual trust, taking accountability for our actions. We foster transparency and welcome diverse perspectives as we learn, adapt, and grow together.Notice | This job portal is provided and operated centrally by Volkswagen AG. The job vacancies shown in the job portal, as well as further information, are defined and managed by the respective Group companies and only provided centrally on a systemic basis by Volkswagen AG in its role as provider of the job portal. #J-18808-Ljbffr