Our computational challenges are so big and unique we can't just buy our hardware, we've got to make it ourselves. Our Platforms Team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Networking Test Engineer you make sure that our massive and growing network is operating at its peak potential. You have hands-on experience with complex networking equipment, a deep understanding of networking protocols, test design and implementation chops and a background in IP network design. It's your job to make sure Google's cutting-edge technology can perform at scale.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $150000 - $218000 (USD) + 15% bonus target + bonus + equity + benefits
Learn more about
benefits at Google.
Minimum qualifications:
- Bachelor’s degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience.
- 4 years of experience in testing.
- Experience in managing live networks (e.g., working in an ISP, dealing with customer networks), testing networking products and deployment scenarios, and using Unix/Linux operating systems.
- Experience in test automation using Python or C++.
Preferred qualifications:
- Master's degree or PhD in Computer Science, Electrical Engineering, a related field, or equivalent practical experience.
- 10 years of experience with testing/releasing networking products.
- 10 years of experience working with and testing multiple L2 and L3 networking protocols as well as troubleshooting automation.
- Experience architecting and developing test infrastructure to support large scaled network solution.
- Knowledge of object-oriented programming languages, such as C++ or Python.