Firmware Intern

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

• 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

• 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.