RTL Intern

Job Title

RTL Intern

Role Summary

As an RTL Intern, you will design microarchitecture and implement RTL (Verilog/SystemVerilog) for inference-focused hardware blocks. You will contribute to RTL block development across the full design cycle, from microarchitecture discussions through synthesis and timing feedback.

This is an in-person internship based in San Jose; positions open for Fall '26, Spring '27, and Summer '27.

Experience Level

Internship / Entry-level — aimed at current undergraduate or graduate students (Bachelor's, Master's, or PhD candidates). No prior ML/AI hardware experience required; ability to learn quickly in a high-autonomy environment expected.

Responsibilities

Typical responsibilities for this internship:

• Design and implement RTL for microarchitectural blocks using Verilog/SystemVerilog.
• Develop and maintain testbenches and assist with verification tasks.
• Work with synthesis and timing teams to address implementation feedback.
• Collaborate with engineers and researchers across architecture, verification, and physical design.
• Learn and apply concepts related to transformer-based ML architectures as needed.

Requirements

Must-have and preferred skills:

• Familiarity with high-speed digital logic.
• Exposure to ASIC or SoC design concepts.
• Experience or familiarity with SystemVerilog, UVM, or Verilog; Python for scripting is acceptable.
• Experience with verification and writing test benches.
• Familiarity with physical design flows and tooling.
• Ability to learn new ML/AI concepts quickly.
• Nice-to-have: familiarity with modern ML/LLM architectures, numerical representations, clocking/reset schemes, or additional scripting/programming experience.

Education Requirements

Progress toward a Bachelor's, Master's, or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field; equivalent practical experience in digital/ASIC design is also acceptable.

About the Company

Company: Etched

Headquarters: San Jose, CA, United States

Etched develops purpose-built AI inference ASICs and systems optimized for transformer models, aiming to deliver significantly higher performance, lower cost, and lower latency than GPUs. The company focuses on enabling applications like real-time video generation and advanced reasoning agents, and is backed by leading investors and engineers.