招聘
A good student experience is never hands-off. We are dedicated to fostering a dynamic learning environment where students actively engage in practical experiences throughout their time with us. From the beginning, students are entrusted with specific responsibilities, ensuring they play a significant role in their learning journey. As valued team members, students are also encouraged to share and implement their own ideas, enhancing both their personal growth and the collective success of the team.
Description
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The successful candidate will join the Central Quality Management team at Plant Spartanburg, which is responsible for process quality management.
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The intern will receive on-the-job training focused on developing new digital solutions to support product and process quality improvements.
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Responsibilities include planning and supporting digitalization projects that enhance Key Process Indicators (KPIs) and drive departmental efficiencies.
The qualified intern should expect to contribute & improve in the following functions:
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Learn and work with modern software tools, focusing on app programming, artificial intelligence, and data analytics.
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Participate in, or supervise, exciting innovation projects.
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Gain insights into the global innovation network.
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Collaborate with various internal departments in Spartanburg and abroad, as well as external business partners.
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Explore new data and analytics tools (e.g., Snowflake, DART, AWS Quicksight) to optimize existing solutions.
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Receive training on frequently used BMW-specific tools related to Quality and Production Management, such as Quality Analytics, T-Cube, PQM, GAIA, OTD Gen AI Hub, and AWS Quicksight.
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Gain a basic understanding of the complete Production Quality Management system.
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Improve skills in verbal/non-verbal communication, collaboration, problem-solving, organization, teamwork, adaptability, and creativity.
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Understand customer requirements and how to ensure they are met consistently in a dynamic production environment.
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Balance daily operational tasks while working on independent projects.
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Gain hands-on experience working with LLMs and Generative AI tools.
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Experience working with members of a global meeting circle.
Qualifications
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Pursuing an undergraduate degree in Computer Science or a related field.
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Proficiency in Microsoft Power Platform (i.e., Power Apps, Power Automate, Power BI), Python, and SQL.
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Must be flexible, able to multitask, possess keen time-management skills, and have the ability to meet deadlines.
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Possess a minimum cumulative GPA of 3.0 on the US grading scale.
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Must be enrolled at a university outside of the United States.
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Must have completed a prior BMW internship of at least 3 months in length.
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Ability to work full-time on-site (40 hours/week).
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Complete and pass a substance abuse test before the work term.
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Work term dates are from September 21, 2026, to March 5, 2027.
Must provide the following paperwork in English:
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Curriculum Vitae/Resume.
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Last University Performance Record.
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Cover letter (not required).
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Relevant references and certificates (not required).
BMW Manufacturing Company is an equal opportunity employer. It is the policy of BMW MC 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.
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About BMW North America

BMW North America
PublicBMW North America is the U.S. subsidiary of BMW Group, responsible for sales, marketing, and distribution of BMW, MINI, and BMW Motorrad vehicles and services in the United States. The company operates manufacturing facilities, dealership networks, and provides financial services for BMW products in North America.
5,001-10,000
Employees
Munich
Headquarters
Reviews
3.9
30 reviews
Work Life Balance
3.6
Compensation
4.1
Culture
3.8
Career
3.9
Management
3.6
76%
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Pros
Interesting projects and challenges
Supportive team and management
Opportunity for career growth
Cons
Some organizational bureaucracy
Room for improvement in processes
Internal communication could improve
Interview Experience
48 interviews
Difficulty
3.1
/ 5
Duration
14-28 weeks
Offer Rate
39%
Experience
Positive 67%
Neutral 18%
Negative 15%
Interview Process
1
Phone Screen
2
Technical Interview
3
Hiring Manager
4
Team Fit
Common Questions
Technical skills
Past experience
Team collaboration
Problem solving
News & Buzz
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