UIUC Research Park Intern - Hardware Functional Safety

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.

Internship Term:
Summer 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 and 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 have the opportunity to work on safety analysis of critical IPs in Rivian’s RAP SOC, understand safety architecture, and perform fault injection validation tests.

• Receive training in functional safety, ISO
  26262 Standard, safety analysis and various tools for analysis, requirements, validation planning, etc.
• Work on creating simulation models or enhancing the existing models of critical RAP SOC IP blocks
• Create fault injection automation flows to test the architecture vulnerability of RAP SOC IPs
• Review and report on fault injection metrics, derive insights regarding resilience of the design and present it to the team
• Learn from the reports to plan for additional fault injection testing on vulnerable parts of the design

• Must be currently pursuing a bachelor’s, master’s, or PhD degree at the University of Illinois Urbana‑Champaign
• Actively pursuing a degree in Electrical Engineering or Computer Engineering
• Electrical Hardware and digital circuits knowledge (preferably CPUs, GPUs)
• Must be comfortable with RTL design, machine learning concepts, and design verification environments
• Basic understanding of the ISO
  26262 standard is preferred
• Basic scripting knowledge is required (Python)
• Must be located in Champaign, IL and able to work out of our office in the Research Park.
• This opportunity requires 40 hours in the summer, with opportunity to continue working 20 hours in the fall and spring.
• This project will require weekly task status update and monthly project update.

The salary range for this role is $25.00–40.00 per hour for Normal 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. More information about benefits is available at

Internship positions are not eligible for retirement benefits.

Rivian is an equal‑opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age,…