Available Location(s): Austin, TX, US About the department
Cloudflare's Research Team pursues strategic projects that have a large impact on Cloudflare systems and the Internet at large. Our focus is on solving difficult problems to connect and protect users, applications, and data, while helping to make the Internet to be resilient and transparent.
In our quest to help make a better Internet, we frequently find ourselves exploring open problems at the boundaries of knowledge in scalable security, privacy, and systems, using techniques including AI/ML and performance analysis. We make cutting edge research contributions in-house, as well as in collaboration with academia, Internet standards organizations like the IETF, and more!
Our team includes experts in applied cryptography, privacy, network architectures and protocols, measurement, cache optimization, machine learning for systems, and time series analysis. We seek interns that augment our existing expertise as well as those who are working in broadly related areas. We have a vast set of potential projects focussed on our current priorities. We also welcome new ideas via concrete proposals that, more than just satisfying curiosity, may help to improve Cloudflare or aspects of the Internet and surrounding technologies touched by Cloudflare. We are, after all, researchers at heart and love learning, too!
More information about Cloudflare's approach to research can be found here.
What you'll do
Cloudflare's Research Team solves difficult problems in security, privacy, and systems at scale. This involves engineering, data analysis, open source software development, protocol design, implementation of primitives, with lots of measurement alongside.
Successful candidates will be matched to suitable projects in on-going research directions. Current research streams delve into:
- advancing application privacy
- transitioning to a post-quantum Internet
- improving network connection performance
- understanding vulnerabilities of the Internet infrastructure
- using AI/ML models for performance optimization,
- maximizing systems efficiency.
General Research Intern Requirements
- Evidence of tackling hard or open-ended problems.
- Proven track record of peer-reviewed research, open-source software contributions, or standards development, that is commensurate with level of training --- students at all levels are welcome to apply.
- Evidence of ability to work in multiple languages -- Go, Rust, Javascript, C/C++, or Python are particularly desirable.
- Experience (and love) for debugging to ensure the system works in all cases.
- Experience with a continuous integration workflow, and use of source control (we use git)
- Willing and eager to share knowledge, with the skills to do so.
Additional Requirements
Knowledge or experience with at least one of the following:
- Computer networking protocols (TCP/IP, DNS, BGP, QUIC, etc.) and related algorithms
- Machine learning analysis, ideally in systems or network optimization
- Authentication protocols, applied cryptography, PKI and SSL/TLS
- Operating or distributed systems analysis or development
- Measurement for network and computer systems
Bonus Points
- Proven track record of independently driving projects in a fast-paced environment
- Experience working in groups, or with multiple stakeholders.
- Strong systems level programming skills.
