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: 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 May 2025 through May 2026. 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. We are seeking an intern to support our team with deep learning models for improving performance metrics on image recognition tasks using advanced machine learning techniques like model compression and neural architecture search. You will be working towards creating prototype models to advance the state-of-the-art production networks deployed on Rivian automotive vehicles. Responsibilities Work on software tools for machine learning compiler to enable inference of deep learning networks on Rivian Hardware. Work closely with software engineers to bringup up new models using compiler constraints on Rivian hardware. Analyze compiler generated solutions and evaluate for performance and memory usage. Verify functionality through functional simulation or emulation. Qualifications Must be currently pursuing a bachelors, masters, or PhD degree at the University of Illinois Urbana Champaign. Actively pursuing a degree or one closely related in Engineering. Good understanding of algorithms for Computer Vision applications, Deep Learning, Natural Language Processing, Artificial Intelligence or related fields. Strong mathematical background and capability to analyze results. Good understanding of software fundamentals. Excellent PyTorch, Python and C++ programming skills. Must be enrolled in the University of Illinois Urbana Champaign. Must be located in Champaign, IL and able to work out of our office in the Research Park. Must be available for 20 hours per week in the Fall and Spring and 40 hours in the summer. This project will require weekly task status update and monthly project update.
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