E logo

Supercomputing Intern

Etched AISan Jose, CA

Automate your job search with Sonara.

Submit 10x as many applications with less effort than one manual application.1

Reclaim your time by letting our AI handle the grunt work of job searching.

We continuously scan millions of openings to find your top matches.

pay-wall

Overview

Schedule
Full-time
Career level
Senior-level
Remote
On-site

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

We encourage you to apply even if you do not believe you meet every qualification.

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 internships@etched.com

How we're different

Etched believes in the Bitter Lesson. We are the first inference-focused frontier AI system. 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.

Automate your job search with Sonara.

Submit 10x as many applications with less effort than one manual application.

pay-wall

FAQs About Supercomputing Intern Jobs at Etched AI

What is the work location for this position at Etched AI?
This job at Etched AI is located in San Jose, CA, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Etched AI?
Employer has not shared pay details for this role.
What employment applies to this position at Etched AI?
Etched AI lists this role as a Full-time position.
What experience level is required for this role at Etched AI?
Etched AI is looking for a candidate with "Senior-level" experience level.
What is the process to apply for this position at Etched AI?
You can apply for this role at Etched AI either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.