Mercedes-Benz Research & Development North America, Inc.

Santa Clara County, San Jose, California

• AI Program Manager Intern

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  $28 – $32Posted last week

  The AI Program Manager Intern will bridge technical AI development and project execution, driving AI literacy, optimizing workflows, and integrating LLMs and developer tools. This onsite internship at Mercedes-Benz Research & Development North America in San Jose, CA runs from July 6 through the end of the year, offering hands‑on experience with cutting‑edge AI technologies.

• Executive Assistant

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  $92,200 – $115,300Posted 2 weeks ago

  The Executive Assistant supports the VP of Infotainment & AI at Mercedes-Benz Research & Development North America, managing the VP’s calendar, coordinating travel, and organizing projects across multiple locations. This role ensures team synchronization, handles executive communications, and drives department initiatives.

• Executive Assistant

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  $92,200 – $115,300Posted 2 weeks ago

  The Executive Assistant will support the VP of Infotainment & AI at Mercedes-Benz Research & Development North America, managing calendar, travel, communications, and project coordination across multiple locations.

• Concept Prototype Intern

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  $28 – $32Posted 2 months ago

  UXUIProduct DesignPrototypeAIAutomotiveIntern

  MBRDNA is seeking a UX/UI/Product Design and Prototype, AI Concept intern. You will help shape next-generation automotive experiences by reimagining how drivers interact with intelligent systems inside and outside the vehicle. Responsibilities include designing user experiences, prototyping, and collaborating across disciplines.

• ADAS Data Analytics Intern

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  $28 – $32Posted 2 months ago

  Autonomous DrivingSoftware EngineeringData AnalyticsPythonDatabricksPySparkSQLInternship

  This internship at Mercedes-Benz Research & Development North America (MBRDNA) focuses on developing tools to evaluate automated vehicle fleets and automating data-driven workflows in Databricks. The role involves creating software for the automated analysis of live data to support SAE Level L2-L4 autonomous vehicles. Candidates should have strong Python and PySpark skills.