Senior Software Engineer, Platforms Accelerators and Networking

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience in one or more of the following programming languages: C, C++, Python, or Go.
• Experience in Unix/Linux environments.
• Experience in network engineering, operations, or network architecture.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• 5 years of experience with data structures and algorithms.
• 1 year of experience in a technical leadership role.
• Experience with large-scale distributed systems, routing protocols, networking protocols, data center networking.
• Understanding of TCP/IP and routing protocols, specifically BGP (attributes, state machines, and route reflection).

In this role, you will solve the problems in scale and availability because Google's network must continue to grow at an exponential rate. You will have an interest of growing in networking, infrastructure, and distributed systems domains to enable networking for large-scale machine learning use cases. You will grow and develop one of the largest networks in the world. This involves building design and logic for the network, implementing routing and control plane systems and collaborating with multiple teams to make the next generation Data center a reality. These domains are critical in supporting ongoing Data center growth spurred by new designs.

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 $166,000-$244,000 + 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.

• Lead the design and architecture of scalable network topologies, focusing on the integration of software control plane with physical network reality.
• Collaborate with hardware vendors to qualify new switch platforms and optical technologies. Drive requirements for next-generation hardware and ensure seamless integration with our software stack.
• Design and implement software systems that interact directly with routing protocols, with a specific focus on BGP attributes, path selection and peering strategies.
• Engage with the open networking community to leverage and contribute to industry-standard network operating systems and tools.
• Maintain our code base, fixing bugs, and be part of our business-hours weekly rotation.