Rivian-posted about 1 month ago
$25 - $51/Yr
Intern
Irvine, CA
5,001-10,000 employees
Transportation Equipment Manufacturing

About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Role Summary Internship Term: Summer 2026 This is a bucket application, and is not an official opening. Your application can be considered for Rivian's 2026 internship programs. If you are selected, you will receive communication with specific responsibilities and qualifications for the role you are being considered for. 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 2026 and June 2028. 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. Responsibilities Applying to this opening will place you into consideration for Rivian's 2026 summer internship program. Teams your application can be considered for include: Autonomy ADAS Electrical Hardware, Sensors

  • Applying to this opening will place you into consideration for Rivian's 2026 summer internship program.
  • Teams your application can be considered for include: Autonomy ADAS Electrical Hardware, Sensors
  • Must be currently pursuing a bachelors, masters, or PhD degree at an accredited university.
  • Actively pursuing a degree or one closely related in computer science, computer engineering, electrical engineering or similar.
  • Development experience in one or more areas of computer vision, image/video, deep learning.
  • Experience programming in C++, Python, or related languages.
  • Solid understanding of machine learning, deep learning, and neural network architectures.
  • Proficiency in using computer vision and deep learning toolkits.
  • Passionately motivated to take ideas from R&D phase to a product
  • Strong written communication and presentation skills.
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