Lead AI Product Engineer to design, build, and deploy AI-powered products and workflows for Rivian's Facilities organization, using AI-native tools to automate manual processes and improve operational efficiency. This role involves end-to-end ownership from problem identification to deployment and value quantification, with a focus on speed and simplicity.

This role focuses on developing and validating active safety features for autonomous vehicles by integrating AI-based algorithms into safety-critical systems. The engineer will design, implement, and optimize these systems, leveraging ML/AI for detection, prediction, and decision-making, and will work with data teams to ensure high-quality datasets for model development and validation.

Staff Software Engineer focused on optimizing ML training and inference infrastructure for large autonomous driving models on NVIDIA GPU systems, including on-board inference latency optimization and distributed training.