Senior XR Embedded Engineer — Edge ML & Platforms

Google; Town of Montana (WI); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Equity

Bonus target

Job summary

Google is seeking a Senior Software Engineer for XR Embedded in Platforms and Devices. You will architect and develop embedded systems for intelligent edge sensing, collaborating with ML engineers to deploy real-time ML sensing applications.

The role emphasizes power, latency, and memory optimization for XR devices. The team works on lightweight XR devices and AI-enabled experiences, offering equity and a strong total rewards package.

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.
• Experience with firmware and driver developments for embedded systems.
• Experience with low-power AI processor, sensor solutions, and overall system architecture.

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.
• Create prototypes to demonstrate new edge sensing features.

Skills

C/C++

Embedded systems design

Firmware & drivers

Embedded interfaces

Low-power AI sensing

Python

TensorFlow / ML

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in CS or related field

Tools

Python

TensorFlow

Job description

Google is seeking a Senior Software Engineer for XR Embedded in Platforms and Devices. You will architect and develop embedded systems for intelligent edge sensing, collaborating with ML engineers to deploy real-time ML sensing applications.

The role emphasizes power, latency, and memory optimization for XR devices. The team works on lightweight XR devices and AI-enabled experiences, offering equity and a strong total rewards package.