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Firmware / Embedded Engineer -- Intern

Root Access

New York City, New York, United States permanent

Posted: February 11, 2026

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Quick Summary

We're looking for a Firmware / Embedded Engineer to join our paid summer internship for 2026. The right person will be excited to break things, give blunt feedback, and help shape new developer tools they wish they had.

Job Description

Internship Role Overview

We’re looking for a Firmware / Embedded Engineer to join our paid summer internship for 2026. The right person will be excited to break things, give blunt feedback, and help shape new developer tools they wish they had. You’ll be an internal user of our product, write firmware for dev boards, and help us validate AI-assisted workflows. You’ll also contribute to embedded projects for testing peripherals, validating board files, or exploring new toolchains. We have an intense working environment meant only for the most ambitious engineers.

If working hard and laughing along the way with awesome teammates is something you'd enjoy, then you'll fit right in!

What You’ll Do

• Write, test, and debug embedded software + firmware (e.g., STM32, ESP32, nRF52) using C/C++ or Rust.

• Use our internal AI-powered tools to generate/configure firmware

• Help test features like pin mapping, driver generation, clock tree config, and build tool integrations.

• Provide structured feedback on usability, bugs, and edge cases (you’re part of the product loop).

• Build demo projects, scripts, or workflows that help us validate tool reliability and usability.

• Read datasheets and vendor docs to cross-verify model output (yep, still a thing).

You might be a good fit:

• Have hands-on experience with microcontrollers (STM32, Arduino, ESP32, etc.).

• Know your way around basic embedded peripherals: UART, I2C, SPI, GPIO, timers.

• Have worked with at least one toolchain (e.g., PlatformIO, STM32CubeIDE, Zephyr, Arduino, Keil).

• Are curious about how firmware dev tools could be better—and want to shape that future.

• Have tinkered with LLMs and AI-native dev tools

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