Senior Staff Software Engineer, Unified Traffic Engineering, Infrastructure

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 responsible for optimized routing and traffic load balancing across Google's global networks, including B4 and the Google Global Network (GGN). Network traffic engineering is a critical infrastructure service; our systems deliver every network flow for Google and GCP end-to-end.

Our core goals include: guaranteeing four nines of network availability through fault-tolerant, outage-free system designs, delivering deterministic, policy-compliant, and latency-bounded packet forwarding. Reducing per-byte costs via novel traffic engineering algorithms and tight integration with capacity planning.

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 - $364000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google (https://www.google.com/about/careers/applications/benefits/).

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.

- Set the technical strategy and define the long-term software architecture for Google's next-generation Unified Traffic Engineering systems.

- Design, implement, and scale complex, highly available solver algorithms and high-concurrency network programming infrastructure.

- Drive strategic alignment and collaborate deeply with partner network teams, hardware teams, and Site Reliability Engineering (SRE) to safely ship global product releases.

- Act as a domain expert and mentor for a team of talented software engineers, raising the bar for engineering excellence, system safety, and code health across the organization.