Supercomputing Intern

The Consensus; San Jose (CA); On-site; USD 23,143,680 - 33,062,400; Full time

Benefits offered by this job

Housing support

Lunch and dinner provided

Direct mentorship from industry leads

Job summary

Etched is offering a 12-week paid internship in San Jose, CA, focused on ML system software for rack-scale deployments. You will work on design, development, and deployment across networking, telemetry, and health analysis with strong mentorship from leaders in a hands-on environment.

Eligible students pursuing CS/Engineering degrees will gain experience in hardware/software co-design, low-level software, and data processing pipelines while collaborating with an in-person team at our Santana Row

Qualifications

• Pursuing a Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related technical field.
• Proficiency in C/C++ or Rust and Python.
• Strong fundamentals in data structures and algorithms; understanding of low-level software engineering.

Responsibilities

• Design, develop, and deploy ML system software for rack-scale systems.
• Work across networking performance, telemetry pipelines, and system health analysis.
• Support hardware validation and secure, performant data-center scale ML workloads.

Skills

C/C++/Rust

Python

Data structures & algorithms

Low-level software engineering

Hardware/software co-design

Communication skills

Education

Bachelor’s / Master’s / PhD in CS/Engineering

Tools

Linux internals / kernel development

CI/CD pipelines

Hardware diagnostics

Job description

About Etched

Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history.

Job Summary

Our supercomputing role focuses on the design, development, and deployment of ML system software required for operating rack-scale systems. Your work will span network performance, telemetry creation and processing pipelines, and analysis of system-level health and performance. Supercomputing is also responsible for the deployment and provisioning of software frameworks and hardware validation, maintaining secure and performant systems for data center scale ML workloads. We are looking for Summer '26, Fall '26, Spring '27, and Summer '27 interns.

You may be a good fit if you have

• 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

Strong candidates may also have (Nice to have qualifications)

• 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

Program details

• 12-week paid internship

• Generous housing support for those relocating

• Daily lunch and dinner in our office

• Based at our office in San Jose, CA

• Direct mentorship from industry leaders and world-class engineers

• Opportunity to work on one of the most important problems of our time

For any questions, contact [e-mail]

How we’re different

Etched believes in Bitter Lesson. We are the first inference-focused frontier AI system, betting early on transformer and transformer-like architectures and on increasing model sizes. Our addressable market is the entirety of inference, unlike many of our competitors.

We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.