Systems & Infrastructure Engineer Intern, Masters - Summer 2026 (Mountain View, CA)
LinkedIn is the world’s largest professional network, dedicated to creating economic opportunity for every member of the global workforce. The internship role focuses on scaling LinkedIn's infrastructure to manage massive data growth, involving backend development and data infrastructure projects.
Responsibilities
- Help us scale LinkedIn infrastructure to handle massive growth in membership, traffic, and data as we continue to experience dramatic growth in the usage of our products with focus in one or more of the areas below
- Data Infrastructure: Build and support large scale systems (e.g. Apache Kafka, Apache Samza, Hadoop, Pinot, Espresso, Ambry, Helix etc.) and tools that enable the generation of insights and data products on all of LinkedIn's internal and external data via self-serve computing, reporting solutions, and interactive querying
- Search, Networks and Analytics: Build and operate the platform that powers all of search at LinkedIn- which responds to thousands of queries per second with target latencies in tens of milliseconds. The platform runs in 24/7 production environment and enables search quality engineers to rapidly innovate, experiment and improve relevance- while at the same time remaining constantly available and performant to our users
- Service: Provide the technical platform for all of LinkedIn Engineering to build services, which are the essential unit of development and deployment
- Content and Community: Deliver the systems and algorithms that generate and serve feeds of professionally relevant activities and content
Skills
- Currently pursuing a MS Degree in Computer Science, or related technical field and returning to the program after the completion of the internship
- Programming experience in one or more of the following languages: Java, C/C++, C#, Python, or Ruby
- Knowledge of core computer science concepts such as object-oriented design, algorithm design, data structures, problem-solving, and complexity analysis
- Experience working in a short-cycle, agile, iterative development team
- Knowledge of computer science, with strong competencies in data structures, algorithms, software design, and object-oriented skills
Benefits
- Annual performance bonus
- Stock
- Benefits
- Other applicable incentive compensation plans
Company Overview
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