• Conduct end-to-end profiling of training workloads to identify bottlenecks across GPU kernels, NCCL communication, and storage I/O • Collaborate with systems engineers to improve scheduling efficiency, collective communication performance, and kernel execution • Build and maintain high-fidelity tooling to monitor and visualize MFU, throughput, and cluster uptime • Design technical processes that help the team operate effectively and avoid repeating performance regressions