Senior Linux Kernel Engineer

2 days ago


Sunnyvale, California, United States Google Full time
About the Role

We're seeking a highly skilled Senior Linux Kernel Engineer to join our team at Google. As a key member of our kernel development team, you will be responsible for delivering exceptional Linux kernel performance monitoring infrastructure for our data centers.

Responsibilities
  • Contribute to the upstream Linux community by collaborating with other kernel developers to improve the kernel's performance and stability.
  • Work on the tool used to collect performance data fleetwide, ensuring that it is scalable, efficient, and provides valuable insights to our engineers.
  • Develop and maintain kernel modules and drivers to support various server-class processor architectures.
  • Collaborate with hardware vendors to improve hardware capabilities and develop tooling to deliver the most insightful performance data to our end users at scale.
Requirements
  • Bachelor's degree or equivalent practical experience in Computer Science or a related field.
  • 5+ years of experience with software development in C, with a strong focus on kernel development and performance optimization.
  • 3+ years of experience testing, maintaining, or launching software products, with a focus on large-scale infrastructure, distributed systems, or networks.
  • Experience with experimental design, analysis, and performance tools, as well as kernel development and architecting distributed systems design.
  • Preferred qualifications include a Master's degree or PhD in Computer Science or a related technical field, as well as experience in a technical leadership role.
About Google

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.



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