Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

How do you spark joy in hundreds of millions of people? It starts with a vision - that technology can give voice to stories around the world. In delivering those much-loved stories, Netflix is responsible for a significant portion of global internet traffic.

To steward that responsibility, we work collaboratively with ISPs to deploy Open Connect, Netflix’s Content Delivery Network (CDN), which delivers 100% of Netflix's video traffic.  Our team’s mission is to support that delivery by ensuring the smooth coordination and operation of the Open Connect Appliances (OCAs) deployed by the thousands around the world, to provide a fantastic viewing experience for all Netflix members.

As a Systems and Networking Research intern, you will have the opportunity to conduct networking research in the context of this global CDN, exploring opportunities for performance, resilience, and reliability optimizations. This includes further the understanding of how the infrastructure interacts with the Internet and how clients are able to effectively connect to the CDN.

Enrolled in a PhD program in Computer Science or related field with focuses on networking, Internet Measurement, or Internet distributed systems.

A burning desire to solve real-world problems at scale.

Knowledge of networking fundamentals (TCP/IP, HTTP, DNS, BGP)

Strong mathematical and problem-solving skills with knowledge of statistical methods.

Excellent software development skills, comfortable with software engineering best practices (e.g. version control, testing, code review, etc.).

Excellent verbal and written communication skills.

Familiarity with CDN and content delivery architectures.

Experience working with cross-functional teams.

Experience with cloud computing platforms and large web-scale distributed systems.

Open source contributions.

Research publications at peer reviewed journals and conferences on relevant topics.

At Netflix, we offer a personalized experience for interns, and our aim is to offer an experience that mimics what it is like to actually work here. We match qualified interns with projects and groups based on interests and skill sets, and fully embed interns within those groups for the summer. Netflix is a unique place to work and we live by our values, so it's worth learning more about our culture.

Internships are paid and are a minimum of 12 weeks, with a choice of a few fixed start dates in May or June 2025 to accommodate varying school calendars. Conditions permitting, our 2025 summer internships will be located in our Los Gatos, CA office, or in our Los Angeles, CA office, depending on the team.

At Netflix, we carefully consider a wide range of compensation factors to determine the Intern top of market. We rely on market indicators to determine compensation and consider your specific job, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location.

The overall market range for Netflix Internships is typically $40/hour - $110/hour.

This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Netflix is a unique culture and environment. Learn more here.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.