RAN Automation and Performance Engineering Intern

Job Description

RAN Automation and Performance Engineering Intern | T-Mobile

The Tone:
This is an 11-week paid internship at T-Mobile, located in Overland Park, KS, offering hands-on experience and training. T-Mobile is a leader in the wireless industry, known for its innovation and for bringing real 5G to the nation, continually shaping the future of technology. As an intern, you will contribute directly to a team that plays a critical role in advancing T-Mobile’s network technology capabilities. This involves working with emerging technologies, RAN automation, performance evaluation, and advanced data intelligence, making an immediate impact in a field that redefines the status quo.

The TL;DR
• Role: Internship
• Type: Temporary
• Location: Overland Park, KS
• Pay: $26–$47 hourly
• Team: Smart Labs, Automation, and Performance team within the National Quality Engineering organization
• Mission: Advance T-Mobile’s network technology capabilities through RAN automation, performance evaluation, and data intelligence.
• Tech Stack: Python, Java, C++, JavaScript, SQL, pandas, machine learning fundamentals, statistical analysis

What You’ll Actually Do
• Develop: Support the design, development, testing, and deployment of software applications and tools specifically for the RAN automation space.
• Analyze: Collaborate with cross-functional teams to assist with data analysis and technical problem-solving, participating in data mining across structured and unstructured datasets.
• Visualize: Build tools that improve data structuring, visualization, and reporting across diverse testing environments, and create meaningful dashboards to effectively communicate technical results and trends.
• Code: Write clean, scalable, and maintainable code that directly supports essential testing and automation workflows, contributing to the current software stack and architectures.
• Innovate: Contribute innovative ideas to enhance existing systems, processes, and services by applying AI-based analysis to increase efficiency in post-processing, log evaluation, and automated insights.

The Must-Haves
• Background: Actively enrolled in a Bachelor’s or Graduate degree program, possessing a foundational knowledge of one or more programming languages, such as Python, Java, C++, or JavaScript.
• Experience: Exposure to data analysis or data mining concepts, including practical skills in SQL, pandas, machine learning fundamentals, or statistical analysis.
• Skills: Strong problem-solving, coding, and analytical abilities; effective communication and collaboration skills essential for success in a technical team environment; understanding of software development principles, object-oriented programming, and AI/ML concepts.