mid software engineering Embedded Software Engineer ic 2+ yrs · Posted Jun 22, 2026
$147,000 – $211,000
USD per year

About this role

Google is hiring a mid-level Embedded Software Engineer in the software engineering function based in San Jose, CA | Miami, FL | Waterloo, Canada. The posting calls out experience with Computer Vision, Data Structures, Data Visualization, Data Analytics and roughly 2+ years of relevant work. Compensation is listed at $147,000–$211,000 per year.

Role
Embedded Software Engineer
Function
software engineering
Level
mid
Track
Individual contributor
Employment
Full-time
Location
San Jose, CA | Miami, FL | Waterloo, Canada
Experience
2+ years
Posted
Jun 22, 2026
AI Summary
Mid-level embedded software engineer developing next-generation technologies for Google's computing platforms and devices. Design, develop, and maintain software solutions for desktop, mobile, and first-party devices. Requires C++ proficiency, 2+ years embedded OS experience, and imaging domain expertise in image processing or computer vision.

Job description

from Google careers

Google's software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for software developers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software developer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our software developers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $147000 - $211000 (USD) + 15% bonus target + equity + benefits
Canada: $150000 - $154000 (CAD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • 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 (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
  • Write product or system development code.

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience in C++.
  • 2 years of experience with working with embedded operating systems.
  • Experience in imaging-related domain such as image processing, computer vision, or computational photography.
  • Experience in image processing pipelines design and implementation.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical field.
  • 2 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging.
  • 2 years of experience with data structures or algorithms in either an academic or industry setting.
  • Experience developing accessible technologies.
  • Proficiency in code and system health, diagnosis and resolution, and software test development.

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