Engineering Intern - Machine Learning Hardware (Spring 2027 Co-op)

Rivian•Palo Alto, CA

13d•Onsite

About The Position

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 onsite, full time (40 hours per week), for the entire duration. If you're unable to work during the spring semester, please instead apply to our Summer Internship Program. No Visa Sponsorship We are seeking an Engineering Intern to work on our Neural Network Engine (NNE) Hardware design. This is a key piece of our chip that will unlock even greater autonomy in future Rivian vehicles.

Requirements

Must be currently pursuing a bachelors, masters, or PhD degree at an accredited university
Actively pursuing a degree or one closely related in Electrical or Computer Engineering
Familiarity with SystemVerilog RTL design
Experience with eCAD programs for simulation, synthesis, and lint/quality checks
Coding experience with Python
Logic design work with complex blocks such as CPUs or GPUs