Rivian

Research and develop 3D machine learning models that reconstruct and render high-fidelity driving environments for Rivian’s autonomous driving systems. This Spring 2027 co-op offers hands-on work with large-scale multi-sensor data, distributed training, and neural rendering research.

Build advanced AI infrastructure for training and deploying large foundation models that power Rivian’s autonomous driving systems. This senior role focuses on accelerating distributed model training and inference across massive vehicle-generated datasets.

Staff Engineer leading machine learning training and infrastructure for large-scale autonomous driving models at Rivian. The role focuses on optimizing deep learning performance across NVIDIA GPU systems and onboard vehicle platforms for safety-critical perception features.

Build AI-powered internal tools and workflow automations that help Rivian’s Facilities organization reduce costs, eliminate manual work, and improve operational efficiency. You’ll work directly with Facilities teams to turn real-world problems into adopted, measurable solutions.

Sr. Audio Software Quality Assurance Engineer responsible for automating and validating in-vehicle audio software across DSP, infotainment, operating-system, and media-routing systems. The role combines test framework development, audio signal analysis, failure triage, and release-quality ownership.

Build and scale backend services that power Rivian’s tax, fee, title, registration, and finance workflows across states and vehicle programs. This role combines Java service development, third-party integrations, and operational support in a complex commercial technology domain.

Lead the architecture and hands-on development of Rivian’s internal agentic AI platform, using large language models, enterprise knowledge, and tools to transform vehicle development workflows. This Staff-level role sets technical standards for reliable, scalable, and measurable AI applications adopted across the organization.

Rivian is accepting applications for its Summer 2027 Software Engineering internship program across mobile, full-stack, frontend, backend, internal applications, digital platforms, and DevOps teams. The internship is for actively enrolled undergraduate or graduate students graduating between Fall 2027 and Spring 2029.