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Start/End Dates: 27/04/2026 - 26/04/2027
Work Location: US - WA - Onsite in Redmond
Job Description: Onsite role in Redmond.
Max BR of BR Hourly.
8+ years of experience required.
BSEE, BSECE, BSCS required, Masters preferred.

Summary:
The research team at Meta Reality Labs is looking for an experienced Embedded Software Engineer to develop firmware for a custom SoC.

Job Responsibilities:
- Develop firmware to integrate custom image sensors with an MCU
- Develop firmware to interface with hardware acceleration blocks
- Develop firmware to interface with sensors like IMU, Barometers, & Magnetometer
- Develop bootloaders
- Develop test applications to interface with a variety of peripherals
- Test the developed firmware with the hardware
- Document designs and performance analysis

Minimum Qualifications:
- 8+ years experience in Firmware or Embedded Software Development in C/C++
- 2+ years experience developing drivers for camera sensors on new ICs
- 2+ years experience developing firmware with multi-core SoCs or MCUs
- Experience with Zephyr OS, Embedded Linux or other RTOS
- Ability to work autonomously with little or no supervision
- Ability to work in a dynamic, high-paced environment where job duties may change frequently

Preferred Qualifications:
- Familiarity with MIPI C-PHY and image sensors
- Familiarity with I3C, SPI, UART, USB
- Familiarity with Embedded Linux, and kernel drivers
- Familiarity with file systems
- Familiarity with bootloaders on small MCUs and larger SoCs
- Low power optimization of embedded systems
- Strong technical writing skills

Education/Experience:
- Bachelor s degree in computer science, software engineering or relevant field required.

Top 3 must-have HARD skills
1 8+ years experience in Firmware or Embedded Software Development in C or C++
2 2+ years experience developing firmware with multi-core SoCs or MCUs
3 Experience with Zephyr OS, Embedded Linux or other RTOS

Good to have skills:
1 Familiarity with MIPI C-PHY and image sensors
2 Familiarity with Embedded Linux, and kernel drivers
3 Low power optimization of embedded systems, Project Code :