Software Engineer III, Embedded, Pixel Memory Management

3 Months ago • 3-5 Years • Full Stack Development

Job Summary

Job Description

As a Software Engineer III, Embedded, Pixel Memory Management at Google, you'll be responsible for bringing up and maintaining memory management software components in Pixel devices. You will design and implement novel approaches to enhance the performance of the MM subsystem, collaborating with engineers across the organization to optimize new Pixel products. Debugging complex software optimization issues, such as root-causing performance regressions, will be a key responsibility. You'll also define and create tools and processes to improve team performance and enhance metrics instrumentation infrastructure within the Linux kernel and Android. This role requires excellent C/C++ programming skills and experience with embedded operating systems, particularly Linux kernel memory management. The ideal candidate possesses experience with highly performant code, hardware, and solving full-stack performance problems.
Must have:
  • Embedded OS experience
  • C/C++ programming skills
  • Linux kernel MM experience
  • Performance optimization
  • Debugging skills
Good to have:
  • Experience with large-scale systems
  • Hardware experience
  • Experience with highly performant code

Job Details


Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting.
  • 2 years of experience working with embedded operating systems.

Preferred qualifications:

  • Experience with highly performant code, either low-level systems or large scale systems.
  • Experience with hardware.
  • Experience with Linux operating systems.
  • Experience with Linux kernel memory management (MM).
  • Experience with solving performance problems in full stack.
  • Excellent C/C++ programming skills.

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.

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

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

  • Bring up and maintain memory management related software components in Pixel devices. Define, design, and implement novel approaches to make MM subsystem more performant.
  • Work with engineers across the organization to bring up new Pixel product(s) with excellent performance (e.g., reducing jank/latency).
  • Debug difficult software optimization issues (e.g., root causing performance regressions).
  • Define and create better tools and processes to enable the rest of the team to write performant software.
  • Improve metrics instrumentation infrastructure in Linux kernel and Android.

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