Help design and ship an Always-On, low-overhead GPU profiling service that runs in production, scales across cluster environments, and delivers actionable insights for ML workloads. You will lead the architecture and hands-on delivery across system software, drivers, and CUDA to make profiling continuously available and reliable.


What you’ll be doing:
+ Design the architecture for an Always-On profiling service, defining interfaces, data flows, and scalability guarantees for multi-process/GPU/node systems.
+ Drive low-overhead, high-reliability implementations in C/C++, including IPC/shared memory, and bounded CPU/memory budgets.
+ Lead end-to-end feature delivery spanning user-mode components, driver/platform layers, and performance counter/trace providers.
+ Establish profiling models that integrate with existing ML/AI workflows (e.g., PyTorch/XLA) to turn low-level signals into actionable insights.
+ Set technical direction for an engineering team; me...