Build the infrastructure that makes private AI inference fast and reliable at scale. • Design and optimize model serving pipelines inside trusted execution environments • Improve inference latency, throughput, and GPU utilization • Integrate new model architectures and serving frameworks • Build tooling for benchmarking and monitoring ML workloads