Supercomputing Intern
Etched · San Jose
CHECKED 6H AGO
Infrastructureonsiteintern
At a glance
Highlights
- Build ML system software that powers rack-scale inference infrastructure.
- Optimize network performance and telemetry for large-scale AI systems.
- Maintain secure, performant systems for data center-scale ML 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
A low-level systems thinker pursuing a CS or engineering degree who loves hardware-software co-design and operating large-scale infrastructure. Collaborative and curious, you thrive digging into performance and reliability challenges.
Requirements
- Progress towards a Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related technical field
- Proficiency in C/C++ or Rust
- Proficiency in Python
- 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