Embedded Software Engineer

Location: Remote (U.S. preferred)

Company Stage: Seed-stage AI + Consumer Hardware Startup

Employment Type: Full-time / Part-time

About Us

We are building a voice-first AI wearable — starting with a smart ring that integrates embedded systems, low-power wireless communication, and intelligent AI agents.

Our founding team comes from Apple (Siri, Vision Pro), Microsoft AI, and SpaceX. We are:

  • UC Launch Accelerator “Audience Choice” Award Winner

  • Backed by Berkeley Haas Seed Fund

  • Google Cloud Partner

We are at an early stage, which means you will have real ownership and direct impact on the product.

The Role

We are looking for an Embedded Software Engineer (new graduate or early career) who is excited about building real hardware products from the ground up.

You will work closely with hardware engineers and AI software engineers to develop firmware, support board bring-up, and ensure reliable system performance.

This role is ideal for someone who enjoys hands-on engineering and wants to see their work ship in a real consumer device.

Reponsibilities

  • Develop embedded firmware in C/C++

  • Suppot PCB bring-up and hardware validation

  • Work with microcontrollers and low-power systems

  • Implement and debug communication protocols (SPI, I2C, UART, BLE)

  • Support integration of sensors, microphones, and peripherals

  • Optimize power consumption and system performance

  • Collaborate with AI engineers on firmware-to-application interfaces

  • Troubleshoot hardware-software integration issues

Qualifications

  • BS or MS in Electrical Engineering, Computer Engineering, or related field

  • Strong foundation in C/C++

  • Understanding of embedded systems and microcontrollers

  • Familiarity with RTOS concepts or bare-metal development

  • Experience with debugging tools (oscilloscope, logic analyzer, JTAG)

  • Strong analytical and problem-solving skill

Nice to Have (Plus Points)

  • Experience with BLE development

  • Audio or voice-related embedded work

  • Low-power optimization experience

  • Familiarity with STM32, Nordic (nRF), ESP32, or Qualcomm (QCC series is a plus)

  • Experience bringing up a custom PCB

Why Join

  • Work on real AI hardware products at an early stage

  • Gain end-to-end exposure across firmware, hardware, and AI integration

  • Take ownership of meaningful technical challenges

  • Fast iteration and learning environment

  • CPT/OPT sponsorship available

If you are passionate about embedded systems and excited about building intelligent hardware products, we would love to talk.