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Software Engineering Intern - Enterprise Applications (Spring 2027 Co-Op)

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Onsite

Software Engineering Intern - Enterprise Applications (Spring 2027 Co-Op)

Rivian

Software Engineering Intern - Enterprise Applications (Spring 2027 Co-Op)

Skills

Machine LearningAISupply Chain

1 month ago

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Important information


Contract type:

Permanent

Location:

Plymouth, MI 48170, USA

Work mode:

Onsite

Published on:

22 September 2026

What they need


Rivian internships are experiences optimized for student candidates. To be eligible, you must be an undergraduate or graduate student in an accredited program during the internship term with an expected graduation date between December 2027 and 2029. Rivian's Internship Program requires active student enrollment. Information regarding your expected degree completion date is collected solely to verify eligibility and determine your availability for future full-time opportunities. Rivian is an equal opportunity employer and does not use graduation dates to determine the age of applicants or as a basis for discriminatory hiring decisions.

If you are not pursuing a degree, please see our full time positions on our Rivian careers site. Note that if your university has specific requirements for internship programs, it is your responsibility to fulfill those requirements.

Our Spring Co-Op program runs from Jan - Aug, 2027. In order to be considered for this role, you must be available to work full time (40 hours per week), onsite, for the entire duration. If you are unable to work during the spring semester, please apply to our Summer Internship Program.

No Visa Sponsorship

As a software engineer, build and enhance enterprise applications that support Rivian’s supply chain and manufacturing operations. The software that is built will help operational efficiency, data visibility, and scalability, helping teams deliver Rivian vehicles and products more reliably and effectively.

  • Develop & deploy Enterprise applications

  • Impact on Supply Chain & Manufacturing apps

  • Learn & Implement AI/ML

  • Work with the team and focus on code quality, collaboration, observability.

  • Must be currently pursuing a bachelors or masters degree at an accredited university.

  • Actively pursuing a degree or one closely related in computer science or similar.

  • Need additional info

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