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Über
Get hands-on experience, training-and a leg up on a bright future.
Learn. Achieve. Build a career.
T-Mobile is revolutionizing the wireless industry for millions of customers nationwide. Working here means rolling up your sleeves and redefining the status quo with a team that has your back every step of the way!
This is an 11-week paid learning experience during which you'll be able to connect and network with other interns and leaders within the company. We invite you to come innovate with mentors who will challenge you to develop meaningful skills. You'll contribute your creativity and outstanding ideas, while working alongside T-Mobile employees. We'll give you hands-on projects and the chance to create an immediate impact.
What It's Like
The
Smart Labs, Automation, and Performance team
within the National Quality Engineering organization plays a critical role in advancing T‑Mobile's network technology capabilities. The team operates across three core functions:
Smart Labs:
Focused on proof‑of‑concept testing for emerging technologies and network solutions. This includes feasibility studies, aligning research initiatives with cross‑functional teams, driving vendor implementations, evaluating business‑driven technology use cases, and performing deep protocol analysis.
Automation and Performance:
Responsible for RAN regression automation, load and stress performance evaluation, customer experience assessment, automated failure classification using AI‑driven and rule‑based algorithms, and zero‑touch UE log processing with automated root‑cause identification across multiple RAN software releases and features.
Advanced Data Intelligence:
The team performs sophisticated data mining across large volumes of test data to enable cutting‑edge troubleshooting techniques and accelerate issue resolution.
What You'll Do
As an intern, you will contribute directly to RAN automation and performance engineering initiatives. You will:
Support the
design, development, testing, and deployment
of software applications and tools in the RAN automation space
Collaborate with cross‑functional teams to assist with
data analysis and technical problem‑solving
Participate in
data mining and analytics
, working with both structured and unstructured datasets to uncover patterns, trends, and actionable insights
Write
clean, scalable, and maintainable code
that supports testing and automation workflows
Present
project outcomes and key learnings
to engineering leadership at the end of the internship
Key Responsibilities
Develop a strong understanding of the
current software stack
, architectures, and system interactions
Build tools that improve
data structuring, visualization, and reporting
across diverse testing environments
Create
meaningful dashboards
to effectively communicate technical results and trends
Contribute innovative ideas to enhance
existing systems, processes, and services
Apply
AI‑based analysis
to increase efficiency in post‑processing, log evaluation, and automated insights
What It Takes
Foundational knowledge of one or more programming languages (e.g.,
Python, Java, C++, JavaScript
)
Exposure to data analysis or data mining concepts (e.g.,
SQL, pandas, machine learning fundamentals, statistical analysis
)
Understanding of
software development principles
, object‑oriented programming, and AI/ML concepts
Strong
problem‑solving, coding, and analytical abilities
Effective
communication and collaboration skills
in a technical team environment
Minimum Qualifications
At least 18 years of age
Legally authorized to work in the United States
Must be actively enrolled in a Bachelors or Graduate degree program
Employees of T-Mobile or Metro by T-Mobile are ineligible for Internships
Employer does not sponsor work visas for this position. Note that this also applies to individuals who are students in F-1 status who desire sponsorship after they complete their education.
Relocation assistance may be provided to program participants who reside more than 50 miles from the internship location.
Intern wages range from $26/hour to $47/hour. The successful candidate's actual pay will be based on education/STEM vs non-STEM designation.
Never stop growing!
As part of the T-Mobile team, you know the Un-carrier doesn't have a corporate ladder-it's more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it's that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you're living our values while investing in your career growth-and we applaud it. You're unstoppable!
T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.
Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500 . Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.
Sprachkenntnisse
- English
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