Help build 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 be hands-on delivering our profiling solutions across system software, drivers, and CUDA to make profiling continuously available and reliable.


What you’ll be doing:
+ Develop low-overhead, high-reliability implementations in C/C++, with 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.



What we need to see:
+ BS or MS degree or equivalent experience in Computer Engineering, Computer Science, or related degree.
+ 5+ years of system-level C/C++ development, including concurrency, memory management, and perform...