XR Embedded Systems Engineer - Edge ML & Devices

Google; San Jose (CA); On-site; USD 187,000 - 252,000; Full time

Job summary

Google's XR team is at the forefront of the next major leap in AI and edge sensing. We design lightweight XR devices paired with intelligent software to augment human capabilities and enable contextually aware experiences.

This role focuses on embedded software engineering for edge sensing applications, firmware development, and close collaboration with ML teams to deploy real-time sensing solutions across large-scale platforms.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in C/C++.
• Experience designing and architecting embedded systems including MCUs, RTOS, memories, interfaces (I2C, SPI, UART, MIPI, CSI2, I3C, BLE), and sensors.

Responsibilities

• Architect and develop embedded systems for intelligent edge sensing applications.
• Develop firmware and drivers for embedded systems.
• Collaborate with ML engineers to implement real-time ML sensing applications.
• Optimize embedded ML model performance in terms of power, latency, and memory usage.

Skills

C/C++

Embedded systems

Firmware development

Low-power AI

Python

Education

Bachelor’s degree or equivalent practical experience

Tools

MCUs

RTOS

I2C

SPI

UART

MIPI

CSI2

I3C

BLE

Job description

Google's XR team is at the forefront of the next major leap in AI and edge sensing. We design lightweight XR devices paired with intelligent software to augment human capabilities and enable contextually aware experiences.

This role focuses on embedded software engineering for edge sensing applications, firmware development, and close collaboration with ML teams to deploy real-time sensing solutions across large-scale platforms.