Staff Software Engineer — Data Center Networking

Google Inc.; Sunnyvale (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google Inc. in Sunnyvale, CA is seeking a Staff Software Engineer focused on Data Center Network Switches. You will own delivery of software for large-scale networking systems and collaborate across teams to push the boundaries of performance and reliability.

The role requires deep expertise in C++, network architecture, and scalable software design, with years of hands-on development, testing, and deployment experience. You will lead critical projects in the AI and infrastructure space.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in C++.
• 5 years of experience testing and launching software products.
• 3 years of experience with software design and architecture.
• Experience with network architecture, ethernet switching, software development and network infrastructure.

Responsibilities

• Work on the latest AI/ML networks for TPUs and GPUs.
• Work with hardware and software systems, programming the data plane and control plane for networking applications which drive the world's largest network infrastructure.
• Manage individual project priorities, deadlines, and deliverables.
• Lead the design, development, testing, deployment, maintenance and enhancement of software solutions.

Skills

C++ programming

Network architecture

Software design

Ethernet switching

Decision making

Education

Bachelor's degree

Master's degree or PhD in Engineering/CS

Job description

Google Inc. in Sunnyvale, CA is seeking a Staff Software Engineer focused on Data Center Network Switches. You will own delivery of software for large-scale networking systems and collaborate across teams to push the boundaries of performance and reliability.

The role requires deep expertise in C++, network architecture, and scalable software design, with years of hands-on development, testing, and deployment experience. You will lead critical projects in the AI and infrastructure space.