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Performance Tools Intern

San Jose💼 Internship🗓 2026-08-03 → 2026-09-26

Core

Design and develop a sophisticated performance analysis tool for custom ML accelerators to help engineers understand workload behavior and identify bottlenecks.

Role type

Performance Tools Intern (Hardware/Systems)

Builds

Performance analysis and profiling infrastructure for custom PCIe-based ML accelerators.

Domain

Hardware infrastructure for frontier AI inference

Deliverable

production ML models | product features | dashboards & analysis

Required skills

C++ or Rust programming, computer architecture knowledge, low-level performance analysis, parallel programming, systems software familiarity

Preferred skills

Python, performance analysis tools (Nsight, VTune, Perfetto), ML accelerator architectures, kernel-mode driver development

Technologies

C++, Rust, Python, PCIe, Linux, Nsight, VTune, Perfetto

Responsibilities

Build components of performance analysis infrastructure, collect and analyze performance data from hardware counters and execution traces, develop tooling to trace host-side runtime and accelerator activity, correlate performance events across CPUs and accelerators, build visualization tools for performance bottlenecks.

Seniority

Intern

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