StaffEngineer,MachineLearning

We are CARIAD, an automotive software development team with the Volkswagen Group. Our mission is to make the automotive experience safer, more sustainable, more comfortable, more digital, and more fun. To achieve that we are building the leading tech stack for the automotive industry and creating a unified software platform for over 10 million new vehicles per year. We’re looking for talented, digital minds like you to help us create code that moves the world. Together with you, we’ll build outstanding digital experiences and products for all Volkswagen Group brands that will transform mobility. Join us as we shape the future of the car and everyone around it. Role Summary: The Staff Engineer, Machine Learning, is responsible for leading the development of a single-stage, end-to-end driving model for our Level 2++ to Level 4 Automated Driving stacks. This role leads design, implementation and validation of reinforcement learning-based models using a world-model simulation environment and leverages multi-modal sensor inputs such as camera and radar data to generate driving trajectories. This role focuses on bridging advances in multi-modal foundation models with the practical challenges of real-time, safety critical embedded deployment. The Staff Engineer, Machine Learning ensures the model is robust, generalizes well, and meets safety standards across a wide range of driving scenarios. This role works closely with embedded engineers, data engineers, and MLOps/DevOps engineers, to create a scalable, high-performance system that delivers real-world impact. Role Responsibilities: Model Architecture occasional early/late meetings to align with global partners Occasional travel as needed for vehicle testing, integration workshops, or demos Years of Relevant Experience: 6+ years of experience in Applied machine learning or deep learning 3+ years of experience reinforcement learning, computer vision, or AD/ADAS systems. Strong candidates with equivalent industry experience