AI Infrastructure Engineer - Autonomy

Applied Intuition is a leading vehicle intelligence company focused on accelerating the adoption of safe, AI-driven machines. As an AI Infrastructure Engineer in the Autonomy team, you'll be working at the intersection of machine learning and infrastructure, handling the entire AI lifecycle from dataset generation to deployment. The role involves working with cutting-edge technology to process petabytes of multimodal sensor data using massive GPU clusters. You'll be building and optimizing training frameworks, compute infrastructure, and deployment systems while collaborating directly with modeling teams. The position offers competitive compensation including base salary ($153,000-$222,000), equity, and comprehensive benefits. The company maintains offices globally but emphasizes an in-office culture at their Mountain View headquarters. This is an excellent opportunity for engineers who want to make a significant impact in autonomous vehicle technology while working with state-of-the-art ML infrastructure and tools like PyTorch, CUDA, Ray, Flyte, and Kubernetes. The role requires a blend of ML expertise and infrastructure knowledge, making it ideal for those who want to work beyond just modeling to tackle broad, ambiguous problems across the entire ML stack.