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DFT Intern

Etched · San Jose

CHECKED 7H AGO

InfrastructureonsiteIntern
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At a glance

Highlights

  • Help refine DFT automation to support chip-level regression on Caelius.
  • Contribute to DFT verification across MBIST, Scan, BSCAN and SSN simulations.
  • Work across frontend and backend teams building hardware for frontier intelligence.

What they offer

  • 12-week paid internship
  • Generous housing support for relocating interns
  • Daily lunch and dinner in office
  • Direct mentorship from industry leaders and world-class engineers

Ideal candidate

An EE/CE student who learns fast and thrives with high autonomy in a fast-paced, in-person hardware team, excited to dive into DFT and help advance frontier AI inference hardware.

Requirements

  • Progress towards a Bachelor's, Master's, or PhD in electrical engineering, computer engineering, or related field
  • Familiarity with Verilog or SystemVerilog
  • Exposure to ASIC or SoC design concepts
  • Familiarity with digital logic design fundamentals
  • Familiarity with standard ASIC design flow steps (synthesis, STA, DFT)
  • Familiarity with scripting in Python, Tcl, or another language
  • Ability to learn quickly about transformers and modern AI
remote policy
Fully in-person, no remote

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
More about Etched →
Apply on the lab’s site ↗