5G Network Intelligence and Automation Intern
Samsung Electronics is hiring a 5G Network Intelligence and Automation Intern. Level rates it ; you can apply on Samsung Electronics.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- The posting mentions RAG, AI automation and NLP among its tools and skills.
- Level classes it as an internship.
- Samsung Electronics has 638 other open roles on Level.
- Posted in the last few days.
AI in this role
Position Summary
This role is not eligible for immigration sponsorshipHeadquartered 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
#LI-HM1
Life @ Samsung - https://www.samsung.com/us/careers/life-at-samsung/
Benefits @ Samsung - https://www.samsung.com/us/careers/benefits/
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At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.
* Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.
Reasonable Accommodations for Qualified Individuals with Disabilities During the Application Process
Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team (855-557-3247) or SEA_Accommodations_Ext@sea.samsung.com for assistance. This number is for accommodation requests only and is not intended for general employment inquiries.
How we rate this
5G Network Intelligence and Automation Intern at Samsung Electronics rates 12 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- Tell me about a workflow you automated with AI tools, end to end.
- What NLP problem have you worked on, and how did you measure whether it actually worked?
Adapt your resume
- List these exact terms on your resume: RAG, AI Automation, and NLP. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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