Senior Software Engineer, AI and Infrastructure

Google · Sunnyvale, CA, USA

In this role, you will be working directly with the Linux kernel, building expertise in operating systems and networking concepts, and contributing to a platform used by millions.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

The US base salary range for this full-time position is $174,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience programming in C++, Python or Go.
  • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  • 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.

Preferred qualifications:

  • Master's degree or PhD in Computer Science, or a related technical field.
  • Experience programming in the Go or Java language.
  • Experience with Linux kernel/OS (e.g., booting, performance tuning, and debugging).
  • Understanding of Virtual Machines/Hypervisors.
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