Senior XR Systems Engineer - AR/VR Multimedia & Embedded

Google LLC; San Jose (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google is seeking a Staff Software Engineer to lead XR Ecosystem work in AR/VR multimedia and datacommunication from San Jose, CA. You will develop software across RTOS, embedded frameworks, Linux kernel, and Android HAL for wearable AR/VR devices.

The role requires deep expertise in C/C++, embedded systems, and real-time software, with leadership to review code, drive architecture, and optimize power, performance, and reliability across the stack.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in systems integration.
• 5 years of experience working with embedded operating systems.
• 3 years of experience with software design and architecture.
• Experience designing and developing software for real-time operating systems.
• Experience with embedded programming in C/C++.

Responsibilities

• Deliver software and technical support related to wearable consumer AR/VR device development, from design to manufacturing.
• Write robust, reliable, efficient software for RTOS, embedded frameworks (pigweed) to Linux kernel and Android HAL.
• Optimize software and firmware for power, performance, memory and reliability.
• Review code and contribute to team efficiency and development workflow.

Skills

Embedded programming

C/C++

RTOS experience

Software architecture

Real-time systems

Systems integration

Education

Bachelor's degree or equivalent practical experience

Tools

FreeRTOS

Zephyr

pigweed

Linux kernel

Android HAL

Job description

Google is seeking a Staff Software Engineer to lead XR Ecosystem work in AR/VR multimedia and datacommunication from San Jose, CA. You will develop software across RTOS, embedded frameworks, Linux kernel, and Android HAL for wearable AR/VR devices.

The role requires deep expertise in C/C++, embedded systems, and real-time software, with leadership to review code, drive architecture, and optimize power, performance, and reliability across the stack.