Chip Simulation Software Intern
Etched · San Jose
CHECKED 6H AGO
Infrastructureonsiteintern
At a glance
Highlights
- Co-design and test simulations of custom AI inference hardware.
- Build tools engineers use to analyze next-gen chip systems.
- Tackle throughput and latency for frontier AI 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
Engineering student fascinated by low-level systems and hardware-software co-design. Collaborative communicator eager to work across teams on cutting-edge AI inference hardware.
Requirements
- Progress towards Bachelor's, Master's, or PhD in Computer Science, Engineering, or related field
- Proficiency in C/C++ or Rust
- Strong fundamentals in data structures and algorithms
- Strong understanding of low-level software engineering
- Strong understanding of hardware/software co-design
- Excellent communication and collaboration skills
- Experience with Linux internals, kernel development, or driver debugging
- Experience with hardware diagnostics or interpreting hardware logs
- Exposure to server virtualization or CI/CD pipelines
- Experience with Rust or embedded development
- 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