Intern, Connected E-Mobility - Spring 2026

As an independent group of companies, the BMW Group has a commitment to creativity and breakthrough ideas that goes well beyond the racetrack. In order to continuously create ultimate driving machines, we drive our growth and design excellence by staffing our teams with individuals who are innovative and always looking for the next great idea. If you share our vision and view yourself as an independent, creative thinker, we invite you to join our team in this exceptional role located in Woodcliff Lake, NJ.

This is a full-time internship position for a Spring Rotation expected to start around March 23rd, 2026 through September 30th, 2026 in Woodcliff Lake, NJ. The Intern will develop and maintain data solutions to support charge testing & validation for BMW electric vehicles in the U.S. market. Data solutions may include data engineering for charging session data in the cloud and / or enhancement of an iOS mobile app and its AWS-based backend.

WHAT AWAITS YOU.

Charging sessions data engineering and development

• Develop data pipelines in our AWS-based Cloud Data Hub to transform and aggregate charging session data
• Integration of additional internal and external data sources, some via APIs
• Enhance an iOS mobile app to improve the capture of relevant data from charging sessions
• May also include creating data visualizations in Tableau or AWS Quicksight

Supporting Interoperability Testing between Chargers and BMW Electric Vehicles

• Perform charging testingConcluding Charging Testcases with Reporting in quality management systems
• Testing of special Topics (e.g. Bugfix retest)

WHAT YOU SHOULD BRING.

• Currently enrolled in a bachelor or master’s degree program at an accredited college or universityPossess a minimum cumulative GPA of 3.0 (not just in major)
• Have completed at least 60 college credit hours at time of application (year 3 or 4 or graduate school)
• Field of study: Electrical Engineering, Computer Science, Mechanical Engineering, or other relevant fields
• Experience with Python and SQLExperience with cloud data platform; i.e., AWS, Azure, GCP, but preferably AWSExperience with APIs for data integration
• Experience in Data Science including data wrangling with real-life datasets
• Excellent Knowledge of MS Word, MS PowerPoint, MS Excel
• Experience with measurement devices (multimeter, oscilloscope, etc.) is a plus
• Advanced understanding of electrical concepts (current, voltage, transients, harmonics, etc.)
• Prior BMW Group experience (applicable to international students only)
• Must attach a copy of college unofficial transcript
• Excellent time-management skills; ability to prioritize and handle multiple tasks simultaneously
• Ability to manage sensitive and confidential information
• Excellent organizational and planning skillsSelf-motivated, adaptable to a dynamic environment
• Able to work both independently and as part of a team 

Preferences:

• Languages: English (fluent, oral, written)

WHAT YOU CAN LOOK FORWARD TO.

Join the BMW North America team and enjoy a high-performance Total Rewards package that may include:

• Paid Time Off in addition to Company paid holidays where eligible
• Hybrid work environment
• Intern Vehicle Lease Program

The hourly rate for Undergraduate students is $29.90

The hourly rate for Graduate students is $36.80

The selected student's academic level will be used to determine the final pay rate. This statement is in accordance with state and local pay disclosure requirements. 

Even more so than the generous compensation and benefits, the culture and values of Shared Services make it the ultimate working environment. These values are Responsibility, Appreciation, Transparency, Trust, and Openness. We allow these values to guide the way we conduct ourselves and our business.

 BMW in the United States is an equal opportunity employer. It is the policy of BMW Group in the United States to provide equal employment opportunity (EEO) to all qualified persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.