We are building a state-of-the-art AI training platform in close collaborati on with model teams to deliver Autonomous car milestones, maximiz ing MFU and iteration speed, and enhanc ing inference systems . We are augmenting training, evaluation and the deployment loop with a data flywheel to validate performance and continuously improve Autonomous driving and Active Safety. W e accelerate compute performance through architectural changes and low-level optimizations, informed by advanced Carbench /HIL platforms, AI tooling and workflows and instrumentation built in-house. We streamlin e compiler/build and modelbench performance; enhance data processing, preprocessing, and bulk inference ; and improve monitoring and availability to increase velocity and quality. As an intern, you will help develop and optimize our AI training platform by improving data processing pipelines, accelerating model training and inference workflows, and / or enhancing testing infrastructure like Carbench /HIL. You will support tool development, instrumentation, and system monitoring to boost reliability, reduce latency, and increase iteration speed for advancing autonomous driving performance.