Develop systems software, profiling tools, benchmarks, and experimentation frameworks for LLM training, inference, and agentic AI workloads. Optimize performance across GPUs, CPUs, memory, storage, and distributed systems, including caching, scheduling, data placement, and state management. Analyze experimental results and collaborate with research and engineering teams on AI infrastructure innovations, technical publications, intellectual property, and future platform designs.