Intern, Intelligent Car & AI CoC- Spring 2027

BMW · Mountain View, California United States · Undergraduate students: Hourly rate is $32.50. Graduate students: Hourly rate is $40.00.

  • Paid
  • Internship

About the role

WHAT AWAITS YOU.

  • Analyze the Market Trends and innovations in In-Car Entertainment & IVI Systems.
  • Assist in the development and integration of AI-powered features for Infotainment.
  • Contribute to the development and maintenance of internal AI tooling and simulation environments.
  • Collaborate with cross-functional teams, including software engineers, UX designers, and product managers.
  • Transfer the best prototype into an android automotive app, which runs on a test rack and a development car.
  • Gain hands-on experience in the application of AI and machine learning in a real-world automotive context.
  • Develop skills in rapid prototyping, software development, and the creation of intelligent devices.
  • Design, Implemented, deploy and test new coding features.

WHAT WE ARE LOOKING FOR.

  • Currently enrolled in a master's degree program at an accredited college or university.
  • US Work Authorization required.
  • Minimum cumulative GPA of 3.0 (overall, not just major).
  • Completed at least 60 college credit hours at the time of application.
  • Ability to work full-time (36.25 hours/week).
  • Must submit an unofficial college transcript with your application.

WHAT YOU SHOULD BRING.

  • Field of Study: Computer Science or other related fields.
  • Business fluent English.
  • Experience in coding in Phyton, coding in Android Automotive, integrating LLM results with existing/new APIs.
  • Open and good communication skills, self-organized.
  • Some technology know-how and interests: AI, LLM, Video and Audio processing.

WHAT YOU CAN LOOK FORWARD TO.

  • Medical insurance coverage.
  • Paid time off in addition to company paid holidays where eligible.
  • Hybrid work environment.
  • Access to the Intern Vehicle Lease Program.

Relocation assistance is not available for this position. This is a hybrid role that requires office days at the Mountain View, CA office.

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