Computational Methods Development Fall Intern

Posted: 7.22.26

Computational Methods Development Fall Intern

Rivian

  • Student Employment & Internships

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.

About the Role

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.

Requirements

  • 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.
  • This project will require a weekly task status update and monthly project update.

Pay Disclosure

The salary range for this role is $25.00-40.00 per hour for Illinois based applicants. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, geographic location, shift, and organizational needs.

We offer a comprehensive package of benefits including but not limited to paid vacation, paid sick leave, and medical insurance benefits. Internship positions are not eligible for retirement benefits.  More information about benefits is available at rivianbenefits.com.

You can apply for this role through careers.rivian.com (or through internal-careers-rivian.icims.com if you are a current employee). This job is not expected to be closed any sooner than 7/31/2026.

Please apply here: https://careers.rivian.com/careers-home/jobs/32340