About the Team

We’re the Applied Research team at Cisco ThousandEyes. Our mission is simple but ambitious: use unmatched Internet-scale data to build network assurance solutions that help enterprises see, understand, and fix problems across the Internet, cloud, and enterprise networks.

We sit at the intersection of research, data science, AI/ML, and product. That means we don’t just analyze data. We turn ideas into algorithms, prototypes into products, and insights into features that customers rely on when things break at 3am!

About the Internship

This internship sits within the BGP research group, where we study how BGP is used in the real world and develop algorithms, analyses, and tools that improve understanding of how networks interconnect and how to better protect this critical Internet infrastructure.

As an intern, you’ll work on concrete, open-ended research problems. You’ll use statistics, data science, and AI/ML techniques to analyze large-scale BGP data, characterize routing behavior and dynamics, and prototype algorithms that advance understanding of Internet topology and interconnection.

Throughout the internship, you’ll collaborate closely with experienced researchers, engineers, and product partners. You’ll be mentored by a dedicated researcher and own a well-scoped project, and see your work progress from exploration and prototyping toward solutions that can influence solutions and products used by large enterprises and network operators.

This internship is designed to be hands-on, impactful, and fast-moving, with a strong emphasis on learning, experimentation, and turning research ideas into practical solutions. In addition to influencing production systems, your work will contribute to internal research artifacts, technical reports, and research publications. ThousandEyes BGP Research team frequently presents at leading community and academic venues such as NANOG, RIPE, and IMC

Who We Are

Cisco ThousandEyes is a Digital Experience Assurance platform that empowers organizations to deliver flawless digital experiences across every network - even the ones they don’t own. Powered by AI and an unmatched set of cloud, internet and enterprise network telemetry data, ThousandEyes enables IT teams to proactively detect, diagnose, and remediate issues - before they impact end- user experiences.

ThousandEyes is deeply integrated across the entire Cisco technology portfolio and beyond, helping customers deploy at scale while also delivering AI-powered assurance insights within Cisco’s leading Networking, Security, Collaboration, and Observability portfolios.

Requirements

• Working towards a PhD in Computer Science (we will consider strong master’s students with research experience demonstrated through publications)

• Strong understanding of networking and internet protocols (TCP/IP, DNS, BGP, HTTP, etc.)

• Hands-on experience working with BGP data or routing measurements (e.g., route collectors, MRT data, routing tables, updates)

• Existing portfolio of network measurement projects (publication and/or course projects)

• Proficiency in Python and common data science libraries (pandas, NumPy, scikit-learn, etc)

• Great written, verbal, and persuasive communication skills

Why Cisco?

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.

We are Cisco, and our power starts with you.