Systems & Infrastructure Engineer Intern, Masters - Summer 2026 (Mountain View, CA)

LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. This internship role focuses on scaling LinkedIn's infrastructure to manage significant data growth, involving backend development and the use of distributed systems.

Responsibilities

• Help us scale LinkedIn infrastructure to handle massive data growth across the LinkedIn ecosystem as we experience dramatic growth in membership and products
• Utilize distributed systems and algorithms and perfect your strong systems orientation skills (multi-threading, concurrency, scalability, performance)
• Understand frameworks for caching, queuing, and distributed data storage, and be excited to work on cutting edge open-source systems
• 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
• 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
• Provide the technical platform for all of LinkedIn Engineering to build services, which are the essential unit of development and deployment
• 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 and/or other applicable incentive compensation plans

Company Overview

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