Senior Embedded Firmware Engineer – XR Platforms & Devices

Google

San Diego (CA)

On-site

USD 174,000 - 252,000

Full time

26 hours ago
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Job summary

Google is seeking a Software Engineer to contribute to next-generation technologies across large-scale systems, with opportunities to switch teams as the company grows. The role emphasizes versatility, leadership, and collaboration across full-stack development in a fast-paced environment.

The XR organization and Platforms and Devices teams focus on immersive computing and foundational platforms, integrating machine learning, sensor simulations, and geospatial models to scale augmented, virtual,

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience with software development in C or C++.
  • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

Responsibilities

  • Write and test product or system development code.
  • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
  • Review code developed by other developers and provide feedback to ensure best practices.
  • Contribute to existing documentation or educational content and adapt content based on product updates and user feedback.
  • Triage product or system issues and debug/track/resolve by analyzing sources of issues and impact on hardware, network, or service operations.

Skills

C/C++ development
Embedded OS
Testing & debugging
Code reviews

Education

Bachelor's degree
Master's degree or PhD (preferred)

Job description

Google is seeking a Software Engineer to contribute to next-generation technologies across large-scale systems, with opportunities to switch teams as the company grows. The role emphasizes versatility, leadership, and collaboration across full-stack development in a fast-paced environment.

The XR organization and Platforms and Devices teams focus on immersive computing and foundational platforms, integrating machine learning, sensor simulations, and geospatial models to scale augmented, virtual,

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