Performance Tools Intern
Etched · San Jose
Infrastructureonsiteintern
At a glance
Highlights
- Design performance analysis tooling for a novel ML accelerator from ground up.
- Visualize CPU, PCIe, and accelerator execution in correlated timeline views.
- Detect memory inefficiencies and PCIe bottlenecks on custom inference hardware.
Ideal candidate
Low-level systems thinker fascinated by how complex hardware behaves under real workloads. You love building tools that help others move faster and thrive digging into performance mysteries across hardware and software.
Requirements
- Strong programming skills in C++ or Rust
- Solid understanding of computer architecture, memory hierarchies and parallel programming
- Experience or strong interest in low-level performance analysis and optimization
- Experience or strong interest in operating systems, compilers, firmware or drivers
- Passion for understanding complex system behavior under real workloads
- remote policy
- fully in-person
Lab profile
About Etched
Building specialized AI chips and systems for frontier inference with best-in-class throughput and latency.
What they build
- Sohu AI inference chip
- AI racks and hardware systems
- Inference software stack
Known for
- Full-stack co-design of chips, racks, software and manufacturing
- Best-in-class throughput and latency for prefill and decode
- Inference-optimized architecture
Key facts
- Backed by hundreds of millions from top-tier investors
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