Supercomputing Intern - Fall 2026

Etched.ai, Inc.; San Jose (CA); On-site; USD 27,552 - 41,328; Full time

Benefits offered by this job

12-week paid internship

Generous housing support

Daily lunch and dinner provided

Job summary

Etched.ai, Inc. is hiring for a supercomputing software role in San Jose, focusing on the design and deployment of ML system software. As an intern, you'll engage in network performance, telemetry processing, and software frameworks for rack-scale systems.

This 12-week paid internship offers mentorship from industry leaders, housing support for relocators, and meals provided on-site. Ideal candidates are progressing in Computer Science or Engineering and have proficiency in C/C++, Rust, and Python.

Qualifications

• Pursuing a degree in Computer Science, Engineering, or a related field.
• Proficient in C/C++ or Rust and Python.
• Strong data structures and algorithms understanding.

Responsibilities

• Design, develop, and deploy ML system software for rack-scale systems.
• Analyze system-level health and performance.
• Maintain secure and performant systems for data center scale ML workloads.

Skills

C/C++ or Rust

Python

Data structures and algorithms

Low-level software engineering

Hardware/software co-design

Excellent communication and collaboration

Education

Progress towards a Bachelor’s, Master’s, or PhD degree in Computer Science or Engineering

Job description

About Etched

Etched is building the world’s first AI inference system purpose-built for transformers - delivering over 10x higher performance and dramatically lower cost and latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real-time video generation models and extremely deep & parallel chain-of-thought reasoning agents. 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.

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 [e-mail]

How we’re different

Etched believes in the Bitter Lesson. We think most of the progress in the AI field has come from using more FLOPs to train and run models, and the best way to get more FLOPs is to build model-specific hardware. Larger and larger training runs encourage companies to consolidate around fewer model architectures, which creates a market for single-model ASICs.

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 as needed.