The customers run many different types of workloads. They range from simple websites to high performance workloads. All of these require fast and robust networking to be successful.
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: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Influence and coach a distributed team of engineers.
Manage project priorities, deadlines, and deliverables.
Build high-performance networking devices and expose virtualize network for VMs.
Develop next-generation SmartNIC for data paths, RDMA offloading and QoS.
Optimize low-level hardware and system performance for various cloud customer workloads.
Minimum qualifications
Bachelor's degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience in testing, and launching software products.
3 years of experience with software design and architecture.
3 years of experience with Virtual Machines.
Preferred qualifications
Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
8 years of experience with data structures and algorithms.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
Bachelor's degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience in testing, and launching software products.
3 years of experience with software design and architecture.
3 years of experience with Virtual Machines.
