We are b uildi ng a sta te-o f-the-art AI trai nin g p latform in clos e collaborati on with model tea ms to deli v er Autonomou s car milestones, maxim iz ing mode l flop utilization and iteration speed, and enhanc ing inference systems . We are augmenting training, data processing, 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 b atch inference ; and improve monitoring and availability to increase velocity and quality. As an i nter n, you will help develop and optimi ze our AI training platfo rm 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.