DV Intern
Etched · San Jose
CHECKED 6H AGO
Infrastructureonsiteintern
At a glance
Highlights
- Verify custom IPs like systolic arrays, DMA engines and NoCs for silicon readiness.
- Validate correctness and performance across the full hardware-software stack.
- Help deliver best-in-class throughput and latency for frontier AI inference.
What they offer
- 12-week paid internship
- Generous housing support for those relocating
- Daily lunch and dinner in office
- Direct mentorship from industry leaders
Ideal candidate
A creative and driven EE or CE student who learns fast, loves complex hardware challenges, and wants to collaborate across teams to power frontier AI.
Requirements
- Progress towards Bachelor's, Master's, or PhD in electrical engineering, computer engineering, or related field
- Familiarity with high-speed digital logic
- Exposure to ASIC or SoC design concepts
- Familiarity with SystemVerilog, UVM, or Python
- Familiarity with verification work and writing test benches
- Familiarity with physical design flows and tooling
- Able to learn quickly about transformers and modern artificial intelligence
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