About The Position

T-Mobile is hiring an intern to support its Physical & Edge AI team in evaluating emerging business opportunities involving intelligent devices, robotics, and autonomous systems. The team works across 5G, AI, edge computing, and emerging technologies with internal technology, product, and strategy groups and external partners. The 11-week paid learning experience includes hands-on projects, training, mentorship, and collaboration with interns, company leaders, and cross-functional teams. The intern will conduct research and analysis, assess where T-Mobile’s network capabilities create differentiated value, and help shape the team’s priorities for future growth. Intern wages range from $27 to $50 per hour; actual pay depends on education and STEM versus non-STEM designation. Relocation assistance is provided to program participants who live more than 50 miles from the internship location.

Requirements

  • Be at least 18 years of age.
  • Be legally authorized to work in the United States now and in the future.
  • Have one or more courses remaining in a bachelor's or graduate degree program after the internship.
  • Have strong analytical and structured problem-solving skills and an interest in business strategy, emerging technologies, and market dynamics.
  • Have experience with case studies, market research, financial analysis, or strategic projects through coursework, internships, or extracurricular activities.
  • Be proficient in Excel and PowerPoint and able to build clear, compelling, data-driven recommendations.
  • Have excellent written and verbal communication skills.
  • Show intellectual curiosity and initiative and be comfortable navigating ambiguous problems.
  • T-Mobile or Metro by T-Mobile employees are ineligible for external Summer Internships; the posting directs interested employees to Magenta Accelerator.

Nice To Haves

  • Interest in AI, robotics, autonomous systems, telecommunications, or edge computing.
  • Prior technical expertise is not required.

Responsibilities

  • Conduct market research and competitive analysis to identify emerging trends, key players, and growth opportunities in Physical & Edge AI.
  • Develop strategic assessments and business cases, including market sizing, financial modeling, and evaluation of commercial opportunities.
  • Research technology partners, startups, and ecosystem participants to assess strategic fit and partnership potential.
  • Synthesize quantitative and qualitative findings into executive-ready presentations, recommendations, and decision frameworks.
  • Collaborate with cross-functional stakeholders to support strategic initiatives and business development activities.

Benefits

  • Paid 11-week internship with wages ranging from $27 to $50 per hour.
  • Training and hands-on project experience.
  • Mentorship and opportunities to build relationships with interns and company leaders.
  • Relocation assistance for program participants who reside more than 50 miles from the internship location.
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