Senior Software Engineer, Profiling Services

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 youll 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.

דרישות:

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 performance engineering.

Familiarity with system software design, operating systems fundamentals, computer architectures, performance analysis, and delivering production-quality software.

Strong interpersonal, verbal, and written communication; able to influence across organizations and build trust with external collaborators.

Ways to stand out from the crowd:

Extensive experience with profiling/tracing stacks for CPU/GPU (e.g., CUPTI, Nsight, performance counters, event correlation) and debugging highly concurrent systems.

Deep hands-on knowledge of CUDA and GPU architecture, including runtime/driver APIs, CUDA streams/graphs, and kernel behavior.

Track record building continuous, always-on, or multi-client profiling systems designed for predictable overhead at scal