XR Embedded Systems Engineer – Edge ML & Devices

Google Inc.; San Jose (CA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google is hiring a Senior Software Engineer for XR Embedded in San Jose, CA. The role focuses on architecting embedded edge sensing systems, firmware and driver development, and collaborating with ML teams to deliver real-time sensing applications.

Ideal candidates have strong C/C++ background, experience with embedded architectures, and a track record in low-power AI solutions. Google emphasizes learning and ownership across cross-functional teams, with XR at the forefront of AI-enabled devices.

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 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

Firmware development

Low-power AI

Sensors

Architecture design

Education

Bachelor's degree

Master's or PhD (preferred)

Job description

Google is hiring a Senior Software Engineer for XR Embedded in San Jose, CA. The role focuses on architecting embedded edge sensing systems, firmware and driver development, and collaborating with ML teams to deliver real-time sensing applications.

Ideal candidates have strong C/C++ background, experience with embedded architectures, and a track record in low-power AI solutions. Google emphasizes learning and ownership across cross-functional teams, with XR at the forefront of AI-enabled devices.