Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
Unified Traffic Engineering (UTE) is in charge of optimized routing and traffic load balancing for Google's global networks including B4. Network traffic engineering is a critical infrastructure service for Google.
In this role, you will be responsible for delivering every network flow for Google and Google Cloud Platform (GCP) services end-to-end, in accordance with network product definitions, in compliance with Service Level Objectives (SLOs) and business policies, and optimized for efficiency. You will ensure designs are efficient and reliable to maintain network availability and user satisfaction for Google services and Google Cloud customers.
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: $262000 - $365000 (USD) + 25% bonus target + bonus + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Provide technical leadership on projects.
- Influence and coach a distributed team of engineers.
- Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
- Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
- Build next generation traffic engineering functionality. Design, implement and qualify new networking features, including software architecture evolution, new solver algorithms, network programming coordination/management, and availability, improving mechanisms. Work closely with other UTE team members, test engineers and Site Reliability Engineers (SREs) to ship our product releases.
Qualifications
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience programming in C++.
- 5 years of experience with design and architecture; and testing/launching software products.
- Experience integrating generative AI tools or LLM interfaces into workflows.
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.
- 5 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.
- Experience with Performance optimization of software systems, debugging complex, distributed software systems, designing and implementing large-scale, real-time software systems. Software-defined networking and Network architecture design.