AI-Driven PLM Software Intern (Catia V6/C++)

Rivian

Palo Alto (CA)

On-site

USD 45,000 - 70,000

Full time

8 days ago
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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

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

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