Software Engineer, Android App, Pixel Camera

2 Months ago • 1-2 Years • Full Stack Development • Research & Development

Job Summary

Job Description

This role involves collaborating with partner teams to integrate new features into the Pixel Camera's video capture pipeline. You'll design and implement the architectural infrastructure supporting efficient debugging and iteration of video features. Responsibilities include maintaining and improving the codebase, optimizing the video capture pipeline for latency, power consumption, and memory usage. The ideal candidate possesses experience in Android app development (Kotlin preferred), camera technology, and performance optimization. The work contributes directly to the next generation of Pixel devices, showcased at Google I/O and Pixel launch events. The position requires a Bachelor's degree (or equivalent experience) and at least one year of software development experience (Java or Kotlin).
Must have:
  • Android app development (Kotlin preferred)
  • Camera technology knowledge
  • Performance optimization experience
  • Collaboration with partner teams
  • Codebase maintenance and improvement
Good to have:
  • Master's or PhD in relevant field
  • Experience with UX designers and researchers

Job Details


Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages (e.g., Java or Kotlin), or 1 year of experience with an advanced degree.

Preferred qualifications:

  • Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
  • Experience in projects involving performance optimizations, such as power, latency, and memory enhancements.
  • Experience working with UX designers and researchers.
  • Experience with development in Kotlin.
  • Knowledge of camera technology and experience developing Android apps.

About the job

Google's software engineers 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 engineers 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 engineer, 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 engineers 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.

Google Input/Output (I/O) and Pixel launch events regularly feature projects that our team has worked on. If you are interested in contributing towards building the next generation of Pixel devices, this is the right place to look!

Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.

Responsibilities

  • Collaborate with partner teams to integrate new features into video capture pipeline.
  • Design and implement architectural infrastructure that support partner teams to efficiently debug, iterate, and enhance video features.
  • Maintain and improve the code base to facilitate efficient development for the team.
  • Improve the video capture pipeline to minimize the impact on latency, power consumption, and memory usage.

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