Performance Tools Intern

Implement the data collection framework for hardware performance counters on a custom PCIe-based accelerator.

Develop a user-space service for low-overhead tracing of accelerator activity.

Design and build a correlated timeline view visualizing CPU API calls, driver submissions, PCIe transfers, and accelerator execution units.

Create an analysis pass to detect and quantify memory access inefficiencies or PCIe bandwidth saturation while transacting on a PCIe-attached accelerator.

Strong programming skills in C++ or Rust . Experience with Python is a plus.

Solid understanding of computer architecture, including CPUs, GPUs or AI accelerators, memory hierarchies, and parallel programming.

Experience or strong interest in low-level performance analysis, profiling, and performance optimization.

Familiarity with performance analysis tools such as Nsight, VTune, Xprof, Perfetto , or similar tools is a plus.

Experience or strong interest in operating systems, compilers, firmware, drivers, or other low-level systems software.

Passion for understanding how complex systems behave under real workloads and building tools that help other engineers optimize performance.

Strong problem-solving skills and curiosity to learn quickly in a fast-paced engineering environment.

Etched believes in the Bitter Lesson . We are the first inference-focused frontier AI system, betting early on transformer and transformer-like architectures and on increasing model sizes. Our addressable market is the entirety of inference, unlike many of our competitors.

We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.