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Software Engineering Undergraduate Internship

Nike

Salary not specified
Sep 4, 2025
Beaverton, OR, USA
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NIKE is looking to revolutionize the future of technology in the sports industry by enhancing consumer technology experiences through innovative software engineering solutions.

Requirements

  • Enrolled in an undergraduate program with an expected graduation date of December 2026 or Spring/Summer 2027.
  • Bachelor’s degree in computer science, engineering, information sciences, or a related field.
  • Previous internship(s) in a digital technology organization, marketing/consumer-facing technology organization, operations and logistics team, or enterprise data and analytics team.
  • Prior experience designing and implementing web/mobile applications.
  • Ability to write computer code that is correct, well-tested, and easy to read.
  • Knowledge of one or more computer programming languages like Java, Python, React, Swift, Vue.js, JavaScript, XCode, C, Android Studio.
  • Knowledge of working in a cloud-based environment (e.g., AWS Lambda, EC2, GCE, DynamoDB, Rackspace, Azure, etc.).

Responsibilities

  • Support various functions across the enterprise.
  • Take ownership of a project that’s been scoped to drive impact within the organization.
  • Develop solutions that meet the needs of consumers by collaborating with engineers, designers, and product managers.
  • Develop innovative consumer applications.
  • Optimize backend systems.
  • Analyze data to improve digital offerings.
  • Participate in brainstorming sessions to ideate new features or enhancements.

Other

  • This internship – as well as full-time positions – are located in-person at the NIKE, Inc. World Headquarters in Beaverton, OR.
  • This is an 8–10-week paid internship opportunity with relocation assistance.
  • Bachelor’s degree in computer science, engineering, information sciences, or a related field.
  • Previous internship(s) in a digital technology organization, marketing/consumer-facing technology organization, operations and logistics team, or enterprise data and analytics team.
  • Ability to collaborate and communicate effectively with cross-functional teams.