Rivian

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 ML training and inference infrastructure for perception systems in autonomous driving vehicles. Responsibilities include optimizing performance of deep learning training on GPUs and optimizing inference latency on onboard systems, with a focus on transformer architectures. Requires deep knowledge of PyTorch and experience with large-scale distributed training.

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.