Staff Engineer, Autonomy Evaluation (VLA)

<p id="isPasted"><span style="font-family: helvetica, arial, sans-serif;">We are <strong>CARIAD</strong>, 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.</span></p> <p><span style="font-family: helvetica, arial, sans-serif;"><strong><u>Role Summary:</u></strong></span></p> <p><span style="font-family: helvetica, arial, sans-serif;">The Staff Engineer, Autonomy Evaluation (VLA) leads the development of evaluation methods, metrics, and tooling for VLA / VLAM-based automated driving at CARIAD.</span><br><br><span style="font-family: helvetica, arial, sans-serif;">This role turns model behavior into clear performance evidence across route-level, scenario-level, and regression testing. You will build the evaluation loop that connects data, simulation, model iteration, and in-vehicle performance, helping the team improve driving quality quickly and make confident technical decisions.</span><br><br><span style="font-family: helvetica, arial, sans-serif;">You will work closely with ML, systems, and integration engineers to define how progress is measured for both demo performance and future productization.</span></p> <p><span style="font-family: helvetica, arial, sans-serif;"><strong><u>Role Responsibilities:</u></strong></span></p> <p><span style="font-family: helvetica, arial, sans-serif;"><strong>Evaluation Strategy &amp; Metrics</strong></span></p> <ul> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Define and evolve evaluation strategies for VLA / VLAM-based driving performance</span></li> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Design metrics and success criteria spanning safety, comfort, robustness, and generalization</span></li> <li style="font-family: helvetica, arial, sans-serif;"><span style="font-family: helvetica, arial, sans-serif;">Create benchmarks for route-level, sce