Position Summary

This role is not eligible for immigration sponsorship
Headquartered in Englewood Cliffs, N.J., Samsung Electronics America, Inc. (SEA), the U.S. Sales and Marketing subsidiary, is a leader in mobile technologies, consumer electronics, home appliances, enterprise solutions and networks systems. For more than four decades, Samsung has driven innovation, economic growth and workforce opportunity across the United States—investing over $100 billion and employing more than 20,000 people nationwide. By integrating our large portfolio of products, services and AI technology, we’re creating smarter, sustainable and more connected experiences that empower people to live better. SEA is a wholly owned subsidiary of Samsung Electronics Co., Ltd. To learn more, visit Samsung.com. For the latest news, visit news.samsung.com/us.

The Networks Operations TAC SME team supports the operational reliability and performance of Samsung’s 4G and 5G wireless network solutions. The team collaborates with all operational support levels including the customer facing Technical Assistance Center (TAC), Engineering, R&D, and other customer-facing organizations to investigate complex network issues, identify recurring failure patterns, improve troubleshooting processes, and reduce service-restoration time.
The intern will help develop data-driven and AI-assisted solutions to improve operational efficiency and customer self-sufficiency. The primary assignment will involve analyzing historical incident and ticket data to identify recurring issues, failure trends, contributing factors, and potential predictive indicators. The intern will also evaluate related technical content—including product documentation, MOPs, troubleshooting guides, knowledge articles, alarms, and system logs - recommend efficient troubleshooting steps and surface relevant technical guidance based on reported symptoms and network context.
Additional assignments may include automating repetitive analysis, developing operational dashboards, improving knowledge organization and retrieval, identifying documentation gaps, and creating self-service guidance for common customer issues. The intern will work with experienced telecom engineers to define requirements, validate technical accuracy, measure the solution’s effectiveness, document the design, and present findings and recommendations at the conclusion of the internship.

Role and Responsibilities

Knowledge of 4G LTE/5G NR network architecture, protocols, call flows, and RAN concepts. Strong Python, scripting, data-analysis, and automation skills. Coursework or project experience in one or more areas such as machine learning, predictive analytics, natural-language processing, generative AI, or retrieval-augmented generation (RAG). Familiarity with SQL, REST APIs, Linux, Git, data-visualization tools, cloud platforms, or containers is preferred

Skills and Qualifications

Currently pursuing a graduate degree in Telecommunications, Electrical/Computer Engineering, Computer Science, Data Science, or a related field
Good understanding of LTE/5G architecture, RAN concepts, and call flows
Strong Python programming, data-analysis, and automation skills
Experience working with structured and unstructured datasets
Coursework or project experience in machine learning, predictive analytics, NLP, generative AI, or RAG
Ability to analyze technical information such as tickets, logs, alarms, product documentation, MOPs, and knowledge articles
Familiarity with SQL, REST APIs, Linux, Git, and visualization tools
Strong analytical, problem-solving, documentation, and communication skills
Ability to translate technical data into practical troubleshooting solutions
Interest in network operations, service reliability, intelligent automation, and customer self-service
Experience with vector databases, cloud platforms, containers, or enterprise knowledge-management tools is a plus

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