Software Engineering Intern Product Lifecycle Management Spring 2027 CoOp

Rivian; Palo Alto (CA); On-site; USD 45,000 - 70,000; Full time

Benefits offered by this job

Paid vacation

Medical insurance

Job summary

Rivian is seeking student interns for spring 2027 in Palo Alto to support automated testing and design validation. You will work on Catia V6 CAD integrations, AI-driven test generation, and scalable backend tooling, collaborating with engineers across disciplines.

Eligible candidates are undergraduate or graduate students with a CS focus and active enrollment, available for full-time spring work onsite. The program highlights exposure to cutting-edge auto design workflows, CI/CD pipelines, and a

Qualifications

• Must be currently pursuing a bachelors or masters degree at an accredited university.
• Actively pursuing a degree or one closely related in computer science or a closely related computational field.
• C++ & Spatial Geometry: Strong proficiency in C++ with 3D math and CAD APIs like Catia V6 CAA RADE.

Responsibilities

• C++ API Integration: Interact with the Dassault Systèmes ecosystem to extract geometric data and manipulate assemblies within Catia V6.
• Agentic AI Implementation: Design autonomous AI agents to explore assemblies and prioritize high-risk design changes.
• Full-Stack Application Development: Build backend services and tooling to orchestrate AI-driven tests.
• Automated Regression Architecture: Create CI pipelines connecting Catia V6 with the AI testing framework.
• Intelligent Debugging & Analysis: Analyze geometric failures and refine testing algorithms with cross-functional teams.

Skills

C++ & Spatial Geometry

Applied Agentic AI

Modern Software Engineering

Cross-Disciplinary Execution

Education

Bachelor's or Master's in CS

Tools

Catia V6 CAA RADE

Python

REST APIs

Job description

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.

Role Summary

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 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.

No Visa Sponsorship

Accelerated Vehicle Design: Automating Catia V6 regression testing allows Rivian to significantly speed up vehicle engineering cycles by instantly catching CAD integration errors that would otherwise require tedious manual inspection.

Intelligent Quality Control: Integrating AI into this automation framework enables the system to predict and prioritize high-risk design changes, ensuring the structural and functional integrity of complex EV models after every system update.

Strategic Talent Pipeline: Creating a dedicated Coop role for this project provides a cost-effective way to modernize Rivian's product lifecycle management (PLM) workflows while training early-career engineers in their specific software ecosystem.

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 or one closely related 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 Disclosure

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.

Benefits

• We offer a comprehensive package of benefits including but not limited to paid vacation, paid sick leave, and medical insurance benefits.

Equal Opportunity

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, military/veteran status, medical condition, or any other characteristic protected by law.

Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at [e-mail] .

Candidate Data Privacy and Technology

Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law.

Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian's service providers, including providers of background checks, staffing services, and cloud services.

Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.

How We Use AI in Our Hiring Process: To ensure transparency, we want candidates to know that Rivian uses iCIMS Talent Cloud Artificial Intelligence (TCAI) and AI-enabled tools to assist with screening, reviewing, organizing and highlighting profiles and applications that match the key requirements for each role.

AI does not make hiring decisions: Qualified candidate applications are reviewed by a member of our team, and all decisions throughout the process are made by humans. We use AI to support efficiency and consistency, not to replace human judgment. We are committed to a fair, thoughtful, and equitable experience for every candidate.

Participation in AI profile matching is entirely voluntary. If you prefer that your profile not be used in this process, you can opt out at any time. Opting out means your profile will be excluded from automated matching and will not be surfaced for additional roles through this system. Your current application remains active and will not be affected in any way.

Please note that we are currently not accepting applications from third party application services.