PD Intern
Etched · San Jose
CHECKED 8H AGO
Infrastructureonsiteintern
At a glance
Highlights
- Realize front-end designs in silicon to accelerate iteration to final signoff.
- Build inference-focused hardware delivering best-in-class throughput and latency.
- Co-design chips, racks and software for prefill and decode workloads.
What they offer
- 12-week paid internship
- Generous housing support for those relocating
- Daily lunch and dinner in office
- Direct mentorship from industry leaders and world-class engineers
Ideal candidate
Electrical or computer engineering student who learns quickly, is curious about AI, and wants hands-on silicon impact in a fast-moving in-person hardware team.
Requirements
- Progress towards a 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
- 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