Software Engineer Intern, Observability

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Roku’s Software Engineer Intern, Observability offers a paid 12-week Summer 2026 internship onsite in Cambridge with a hybrid work approach, focusing on AI enhanced observability. You’ll explore and prototype AI/LLM capabilities within Roku’s observability stack, evaluate MCP servers, build AI driven anomaly detection and intelligent automation, and contribute to proof-of-concepts for AI assisted troubleshooting while gaining hands-on experience with Kubernetes Istio and the CNCF ecosystem. The team values curiosity, collaboration, problem solving, and the ability to learn quickly across large scale systems. To apply effectively, tailor your resume to show AI/LLM work, cloud and observability interest, related coursework or projects, OSS involvement, and evidence of teamwork and impact, and highlight your readiness to join a fast paced, impact driven culture.

Teamwork makes the stream work.

Roku is changing how the world watches TV

Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.

From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.

About the role 

Are you eager to dive into the world of observability and contribute to building the next generation of Roku's AI-enhanced observability platform? Are you excited to learn about or expand your knowledge of the CNCF open-source ecosystem, including tools for metrics, logs, and tracing, while exploring how AI and Large Language Models can revolutionize observability workflows? Do you enjoy problem-solving, working collaboratively with other teams, and exploring innovative ways to improve their observability experience through intelligent automation? In this role, you'll have the opportunity to grow your skills while helping manage large-scale operations involving high-volume data and requests across multiple regions and clusters, all while pioneering AI driven observability solutions. If you're enthusiastic about learning at the intersection of observability and AI, and ready to make an impact, we'd love to hear from you!

We offer a paid 12-week internship, starting in Summer 2026. 

About the team 

The observability team is an integral part of Roku's central Infrastructure Engineering team, which oversees the service mesh hosting architecture and observability platform that lives on that platform. Together, we are tasked with developing and scaling both the Platform (Kubernetes, Istio, Envoy, operators, etc.) and the Observability stack (OSS/CNCF-supported observability projects). Our goal is to facilitate Roku's shift towards a unified, cloud-agnostic infrastructure where all teams benefit from a common framework with out of the box features. 

Within the observability team, we are dedicated to creating a world-class observability platform. We customize and optimize OSS projects to meet our needs and actively contribute to upstream projects, promoting positive changes and engaging with the broader ecosystem.

What you'll be doing: 

In this role, you'll take on exciting projects at the cutting edge of AI and observability. Your primary focus will be exploring and then making proof of concepts for AI/LLM capabilities within our observability stack.  To give some potential examples: 

• Discovering and evaluating MCP servers that can be globally hosted to improve the usability and intelligence of our observability platform 
• Developing AI-driven anomaly detection systems to proactively identify issues and patterns in our telemetry data 
• Creating intelligent automation for common observability workflows using LLMs 
• Building proof-of-concepts for AI-assisted troubleshooting and root cause analysis 
• Explore any other options that benefit our platform 

Alongside these AI-focused initiatives, you'll work on smaller tasks to gain hands-on experience with our observability stack, collaborating with a passionate team to solve real-world challenges. Your contributions will directly enhance how Roku monitors, analyzes, and optimizes its systems through the power of AI, giving you a chance to learn, innovate, and make an impact at the forefront of observability technology. 

We’re excited if you have:

• Currently enrolled in a degree program in Computer Science/Engineering or related field and due to graduate in Dec 2026 or later. 
• A strong curiosity and eagerness to learn about observability, cloud platforms, and large-scale systems. 
• Some prior experience with AI and LLM’s in general  
• Some familiarity with concepts around Kubernetes or container orchestration, and an interest in learning how to deploy and manage services in these environments.  
• An understanding of, or experience with, basic DevOps or CI/CD workflows, and a desire to explore how these can improve reliability and scalability.  
• A knack for problem-solving and a willingness to experiment with new tools and technologies.  
• A passion for collaborating with others and contributing to team goals.  
• Excitement about creating something impactful and being part of a project that helps improve the way we monitor and optimize systems. 
• Even if you don’t have direct experience with everything listed, we’re looking for someone with the drive to dive in, ask questions, and grow their skills along the way! 

Our Hybrid Work Approach

Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.

Benefits

Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.

Accommodations

Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to [email protected].

The Roku Culture

Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. 

We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. 

To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.

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