Staff Software Engineer, Vulnerable Road Users

Waymo, a leader in autonomous driving technology since 2009, is seeking a Staff Software Engineer to join their Perception Vulnerable Road Users (VRU) Understanding team. This role is crucial in developing and maintaining systems that identify and understand interactions between pedestrians, cyclists, and motorcyclists with other objects on the road.

The position offers an exciting opportunity to work on cutting-edge machine learning and computer vision applications in autonomous driving. You'll be responsible for leading modeling efforts that encompass both common and edge cases in VRU understanding, while leveraging advanced foundation models to create efficient and scalable solutions. The role requires expertise in deep learning frameworks and state-of-the-art ML techniques for object detection, tracking, and action recognition.

As a Staff Engineer, you'll have the chance to shape the future of autonomous driving technology while working with a team dedicated to improving road safety and mobility. The role offers competitive compensation ($238,000-$302,000), comprehensive benefits, and a hybrid work environment. You'll be part of Waymo's mission to develop the World's Most Experienced Driver™, which has already provided over one million rider-only trips and driven tens of millions of miles autonomously.

The ideal candidate will bring 6+ years of machine learning experience, strong leadership abilities, and deep technical expertise in computer vision and deep learning. You'll work in Mountain View, California, collaborating with talented engineers and researchers to solve complex challenges in autonomous vehicle perception. This role offers the opportunity to make a significant impact on technology that is transforming transportation and improving road safety for vulnerable road users.