Firmware Intern

The Consensus

San Jose (CA)

On-site

USD 34,440,000 - 48,216,000

Full time

14 days+

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Benefits offered by this job

Housing support
Daily lunch and dinner
Mentorship from industry leaders

Job summary

Etched is seeking a motivated intern to help develop firmware for cutting-edge chips used in AI workloads. You’ll work across the stack—from low-level drivers to runtime integration—to enable high-throughput inference and training.

A strong foundation in systems programming and hardware awareness is essential, with mentorship from leading engineers. Summer '26, Fall '26, Spring '27, and Summer '27 internship programs operate in our San Jose, CA office, offering housing support, daily meals, and

Qualifications

  • Progress towards a degree in a technical field.
  • Solid fundamentals in data structures and algorithms.
  • Familiarity with low-level software/hardware concepts.

Responsibilities

  • Develop firmware for chips and run AI workloads efficiently.
  • Work across drivers, hardware interfaces, and system init code.
  • Collaborate with hardware, architecture, and software teams on silicon bring-up.

Skills

C/C++ or Rust
Data structures & algorithms
Low‑level software engineering
Hardware/software co-design
Team collaboration

Education

Bachelor's/Master's/PhD in CS or Engineering

Tools

Linux kernel basics
Embedded development

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

In our firmware role, you will help develop firmware for our chips, designed to run large AI models efficiently. You’ll work across the stack—from low-level drivers, hardware interfaces, and system initialization code to integration with runtime libraries and model-execution frameworks. Your work will focus on making the hardware operate reliably and at peak performance, enabling high-throughput inference and training workloads. You’ll collaborate with hardware, architecture, and software teams to bring up new silicon, validate features, and support real-world AI applications. 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
  • 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 internships@etched.com

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.

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