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BMW North America
BMW North America

Premium automobile and motorcycle manufacturer

IT Innovation & Research Intern Fall 2026

직무오퍼레이션
경력인턴십
근무오피스 출근
고용인턴
게시1개월 전
지원하기

필수 스킬

Python

AWS

Azure

Jira

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:

  • This is a position with the Innovation Lab that focuses on bringing innovations to different areas of BMW Group. The lab examines topics in the areas of artificial intelligence (such as machine/deep learning / genetic algorithms / generative AI /large language models), data science, cybersecurity, green IT and quantum computing.

  • Work in an area of innovation focusing on one to two projects for the duration of the internship. Projects will have a mentor in the Innovation Lab.

  • Analyze problems and implement solutions that can be proven to work. Continually refine and improve solutions.

  • Share in team meetings current progress and challenges.

  • Design and test algorithms using Python for local systems, GPU-based systems, and cloud solutions (AWS/Azure).

  • Update and track tasks with tools such as JIRA and Confluence.

  • Be open to learning new tools and technologies used by the Innovation Lab for data analytics (e.g. Grafana, AWS).

  • Projects are dependent upon current tasks of the Innovation Lab as well as background and willingness of intern to learn new technologies and methods.

  • Typical projects include deep learning classification / segmentation, data analytics using Python, Augmented and Virtual Reality application development, game design in Unity and Unreal Engine, experimenting with new IoT devices and design of algorithms suitable for next generation computers (e.g. quantum, neuromorphic, optical).

Qualifications:

  • Pursuing a degree in Computer Science, Computer Engineering, Mathematics, Statistics, or related discipline.

  • Possess a minimum cumulative GPA of 3.0 (not just in major)

  • Have enrolled student status at an accredited four-year college or university in the United States.

  • Completed at least 30 credit hours at time of application.

  • Ability to work full-time on-site (40 hours / week).

  • Transfer students must have a GPA from current university.

  • MUST ATTACH A COPY OF UNOFFICIAL TRANSCRIPT

  • Complete and pass a substance abuse test before the work term.

  • THE WORK TERM DATES ARE August 10th

  • December 11th, 2026.

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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BMW North America 소개

BMW North America

BMW 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

직원 수

Munich

본사 위치

리뷰

10개 리뷰

3.7

10개 리뷰

워라밸

3.2

보상

4.1

문화

4.0

커리어

2.8

경영진

2.5

65%

지인 추천률

장점

Good benefits and compensation

Positive work culture and environment

Flexible work arrangements

단점

Poor management and lack of direction

High pressure and overwhelming workload

Limited career advancement opportunities

면접 후기

후기 48개

난이도

3.1

/ 5

소요 기간

14-28주

합격률

39%

경험

긍정 67%

보통 18%

부정 15%

면접 과정

1

Phone Screen

2

Technical Interview

3

Hiring Manager

4

Team Fit

자주 나오는 질문

Technical skills

Past experience

Team collaboration

Problem solving