Software Engineering Intern - Product Lifecycle Management (Spring 2027 Co-Op)

About the Role

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.

Our Spring Co-Op program runs from Jan - Aug, 2027. In order to be considered for this role, you must be available to work full time (40 hours per week), onsite, for the entire duration. If you are unable to work during the spring semester, please apply to our Summer Internship Program.

Responsibilities

• C++ API Integration: Programmatically interact with the Dassault Systèmes ecosystem by leveraging Catia V6 C++ APIs (CAA RADE) to extract geometric data, manipulate 3D assemblies, and execute automated sequences directly within the CAD environment.
• Agentic AI Implementation: Design and deploy autonomous AI agents capable of exploring complex vehicle assemblies, dynamically generating edge-case test scenarios, and prioritizing high-risk structural changes without human intervention.
• Full-Stack Application Development: Build and maintain scalable backend infrastructure and internal tooling that orchestrates the execution of these AI-driven tests, providing a seamless interface for Rivian's mechanical and software engineering teams.
• Automated Regression Architecture: Architect a robust continuous integration (CI) pipeline that connects the Catia V6 environment with the AI testing framework, ensuring comprehensive regression suites run reliably after every major PLM or vehicle design update.
• Intelligent Debugging & Analysis: Analyze complex geometric failures and systemic anomalies flagged by the AI agents, collaborating cross-functionally to resolve bugs, refine the testing algorithms, and ensure the structural integrity of Rivian's EV platforms.

Qualifications

• Must be currently pursuing a bachelors or masters degree at an accredited university.
• Actively pursuing a degree in computer science or a closely related computational field.
• C++ & Spatial Geometry: Strong proficiency in C++ object-oriented programming with a solid grasp of 3D mathematics, vector geometry, and ideally, prior exposure to complex CAD APIs like Catia V6 CAA RADE.
• Applied Agentic AI: Demonstrated experience or advanced coursework working with autonomous AI agents, large language models (LLMs), or reinforcement learning frameworks applied to automated decision-making and workflow orchestration.
• Modern Software Engineering: Hands-on experience building scalable backend services or full-stack applications using Python or similar modern languages, coupled with working knowledge of REST APIs, version control (Git), and CI/CD pipelines.
• Cross-Disciplinary Execution: Exceptional analytical problem-solving skills with the ability to translate mechanical engineering constraints into robust software architecture, driven by a strong passion for the electric vehicle industry.

Pay

The salary range for this role is $33.00-51.00/HR for Palo Alto 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.