Summer 2025 Software Development, Automation Internship
- Internship, onsite
- T-Mobile
- On Site, United States of America
Salary undisclosed
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T-Mobile is synonymous with innovation-and you could be part of the team that disrupted an entire industry! We reinvented customer service, brought real 5G to the nation, and now we're shaping the future of technology in wireless and beyond. Our work is as exciting as it is rewarding, so consider the career opportunity below as your invitation to grow with us, make big things happen with us, above all, #BEYOU with us. Together, we won't stop!
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 a 12-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
Be part of a software development team working on many engineering applications including an in-house Testing and communication platform. The Team has full stack developers, UI developers, Python scripting development, Tools administration, Process and test automation tools. The team designs and hosts Big-Data architecture to store, transform and analyze huge engineering databases. Developing AI/ML logic for engineering use cases. Building business insights and Engineering analytics, System administration, VMware, Cloud based hosting, API automation, Frontend UI development are some key goals of the team.
What You'll Do
This position will work on software development to build machine learning logic on engineering data, logs and node alarms and Key performance indicators. You will be working with mentors with years of experience on software development, Database handling, Network call flows and protocols and AI/ML development.
Key Responsibilities
What It Takes
Relocation assistance may be provided to program participants who reside more than 50 miles from the internship location.
Intern wages range from $20/hour to $40/hour. The successful candidate's actual pay will be based on experience/location.
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 or calling 1- . 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.
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 a 12-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
Be part of a software development team working on many engineering applications including an in-house Testing and communication platform. The Team has full stack developers, UI developers, Python scripting development, Tools administration, Process and test automation tools. The team designs and hosts Big-Data architecture to store, transform and analyze huge engineering databases. Developing AI/ML logic for engineering use cases. Building business insights and Engineering analytics, System administration, VMware, Cloud based hosting, API automation, Frontend UI development are some key goals of the team.
What You'll Do
This position will work on software development to build machine learning logic on engineering data, logs and node alarms and Key performance indicators. You will be working with mentors with years of experience on software development, Database handling, Network call flows and protocols and AI/ML development.
Key Responsibilities
Work on Azure Open AI
Develop code in Python to support ongoing engineering projects test validation.
Develop AI/ML logic with engineering data to solve key engineering process pain points.
Learn VMware deployments, Ansible and other tools
What It Takes
Artificial intelligence (AI) use case development
Machine Learning (ML) logic development
Computer Science & Engineering knowledge
Software development and coding skills
AI/ML use case logic development
At least 18 years of age
Legally authorized to work in the United States
Must have graduated within the last 12-months, OR be actively enrolled in a Bachelors or Graduate degree program
Employees of T-Mobile or Metro by T-Mobile are ineligible for Internships
Relocation assistance may be provided to program participants who reside more than 50 miles from the internship location.
Intern wages range from $20/hour to $40/hour. The successful candidate's actual pay will be based on experience/location.
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 or calling 1- . 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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