Role Summary Internship Term:

Fall 2026 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 through May 2028. 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. In this role, you will assist in developing computational methods for physics-based simulations. The project(s) will primarily focus on one or more of the following: numerical analysis, scientific computing, 2D/3D finite-element (FE) methods for electromagnetic, structural, and thermal analysis, computational fluid dynamics (CFD), computational geometry, NVH, meta-modeling, data analysis, machine learning (ML), process automation, and optimization. Responsibilities Develop in-house tools and numerical methods for physics-based simulations. Apply computational geometry techniques to develop, modify, and analyze engineering designs. Develop scripts to streamline product development and automate workflows. Use data analysis, meta-modeling, and machine learning to enhance simulation efficiency. Perform design optimization through simulation-driven analysis. Qualifications Must be currently pursuing a masters or PhD degree at the University of Illinois Urbana Champaign Actively pursuing a degree or one closely related in Engineering Strong background in mathematical analysis, scientific computing, numerical methods and algorithm development.

Proficiency in programming:

C/C++, Fortran, Matlab, Python, etc. Experience in high-performance computing (HPC) and cloud computing.

Experience in statistical methods:

data analysis, machine learning, and artificial intelligence.

Experience in finite-element analysis:

Qualifications:

Must be currently pursuing a masters or PhD degree at the University of Illinois Urbana Champaign Actively pursuing a degree or one closely related in Engineering Strong background in mathematical analysis, scientific computing, numerical methods and algorithm development.

Proficiency in programming:

C/C++, Fortran, Matlab, Python, etc. Experience in high-performance computing (HPC) and cloud computing.

Experience in statistical methods:

data analysis, machine learning, and artificial intelligence.

Experience in finite-element analysis:

electromagnetic, structural, and thermo-fluids. Must be enrolled at the University of Illinois Urbana Champaign. Must be 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. 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