Senior XR Embedded Systems Engineer – Edge AI & Devices

Google

United States

On-site

USD 174,000 - 252,000

Full time

14 days+

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Job summary

Google is seeking a Senior Software Engineer for XR Embedded work in San Jose, CA (Mid level). You will develop embedded software, firmware, and drivers for edge sensing devices, collaborating with ML teams to deploy real-time AI at the edge.

Focus areas include power, latency, and memory optimizations for XR platforms and devices, with opportunities to influence system architecture and hardware-software integration.

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++ development
Embedded systems design
Low-power AI/edge devices
Firmware/Driver development
Sensor interfaces (I2C/SPI/UART/BLE)

Education

Bachelor’s degree or equivalent
Master’s degree or PhD in CS or related

Tools

Python
RTOS
MCUs

Job description

Google is seeking a Senior Software Engineer for XR Embedded work in San Jose, CA (Mid level). You will develop embedded software, firmware, and drivers for edge sensing devices, collaborating with ML teams to deploy real-time AI at the edge.

Focus areas include power, latency, and memory optimizations for XR platforms and devices, with opportunities to influence system architecture and hardware-software integration.

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