New

Summer 2026 Software Engineering, Agentic AI & Test Automation Internship

T-MOBILE USA, Inc.
relocation assistance
United States, Washington, Bellevue
13427 Northeast Spring Boulevard (Show on map)
Mar 11, 2026
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 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 Our engineering organization designs, builds, and supports a wide range of platforms and tools that enable largescale telecom testing and automation. This includes: In-house test orchestration platforms Jenkins-based CI/CD backend systems Robo/Robot Framework automation pipelines Vendor tool integrations for engineering and test nodes Data platforms for log analysis, KPI reporting, and network performance insights AI/ML-powered solutions that enhance testing efficiency and streamline engineering workflows What You'll Do As a Software Engineering Intern, you will contribute to engineering initiatives that enhance automation, AI adoption, and testing efficiency across telecom platforms. Depending on project needs, you may work on one or more of the following: Design and develop AIpowered automation solutions to improve telecom test efficiency Build Pythonbased backend components that integrate with CI/CD systems such as Jenkins Develop and evaluate LLMbased solutions (e.g., Azure OpenAI, RAG workflows, agent frameworks) for analyzing logs, alarms, and KPI datasets Create intelligent workflows for anomaly detection and rootcause analysis Integrate APIs and vendor platforms into internal orchestration and automation tools Work with large engineering datasets, including logs, timeseries KPIs, and performance metrics Participate in Agile ceremonies, such as daily standups, sprint planning, and team demos Present project findings and a final technical deliverable to engineering leadership This is a hands-on engineering internship - not a shadowing role. Key Responsibilities As a Software Engineering Intern, you may also contribute to advanced AI, data, and automation initiatives, including: Prototype and implement LLMbased agents using enterpriseapproved tools such as OpenAI, Claude, or Windsurf Design and build data pipelines to process telecom logs, timeseries KPIs, and performance metrics Collaborate with domain subjectmatter experts (SMEs) to translate complex telecom requirements into practical automation solutions Document system architecture, workflows, and key technical decisions to support ongoing development and knowledge sharing What It Takes Preferred Qualifications Experience working with Large Language Models (LLMs), RetrievalAugmented Generation (RAG) architectures, or agent frameworks Familiarity with AI/ML ecosystems, including Azure OpenAI, OpenAI APIs, LangChain, LlamaIndex, or vector databases Handson experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikitlearn Exposure to log analysis, anomaly detection, or timeseries data processing Experience with containerization and cloud technologies, including Docker, Kubernetes, or cloud platforms (Azure/AWS) 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.