Engineering Intern - AI/ML ASIC CAD (Spring 2027 Co-Op)

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** In this role, you will implement new or modify existing AI tools used in the ASIC PD flows to improve turn around time, ease of viewing data, improve overall efficiency in implementing RAP series of Rivian autonomous ASIC. * Build, develop and deploy software, automation and AI-assisted solutions that improve IC build work flows across physical build, data visualization, report summarization, checklist creation/reviews etc * Develop and enhance AI -Enabled tools, Agents and workflow automation that improves engineering productivity and design team efficiency * Collaborate with Physical Design partners like Logic Design/Packaging/Verification teams to identify and implement high impact opportunities for Automation, Generative AI and AI assisted design flow enablement. * Build and Maintain the AI tool integration and write supporting technical/usage content for Physical Design team. * Must be currently pursuing a masters, or PhD degree at an accredited university * Actively pursuing a degree or one closely related in Computer or Electrical Engineering * Experience working with Physical Data Structures, Algorithms (Python) * Expreience with software CI/CD Processes * Experience in Unix/Linux GenAI, AI/ML Techniques for automation * Knowledge of ASIC CAD tools used in Synthesis/PnR #LI-HH2