Systems & Infrastructure Engineer Intern

Job Description

This internship role will be based out of Headquarters in Mountain View, California.

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

Are you interested in Backend Development? We're building the next-generation data infrastructure, including storage, streams, media and analytics platforms. Help us scale LinkedIn infrastructure to handle massive data growth across the LinkedIn ecosystem as we experience dramatic growth in membership and products. You will utilize distributed systems and algorithms and perfect your strong systems orientation skills (multi-threading, concurrency, scalability, performance). You will understand frameworks for caching, queuing, and distributed data storage, and be excited to work on cutting edge open-source systems.

Candidates must be currently enrolled in a master's degree program, with an expected graduation date December 2026 or later.

Our internships are 12 weeks in length and will have the option of two intern sessions

• May 26th, 2026 - August 14th, 2026
• June 15th, 2026 - September 4th, 2026

The ideal intern candidate will help scale LinkedIn's 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

Qualifications

Basic Qualifications:
• 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

Preferred Qualifications:
• 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.

Suggested Skills:
• Distributed Systems
• Operating Systems
• Cloud Computing

As part of the application process for this role, after an initial qualifications review, candidates are required to successfully complete the HackerRank online code challenge. Instructions for completion of the code challenge will be sent to you if your application is selected to move forward in the process.

LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is $60-$70. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.

The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.