About the job
Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has tirelessly worked on developing the Waymo Driver, The World’s Most Experienced Driver™, to enhance mobility access and save lives that are lost in traffic accidents. The Waymo Driver not only supports our fully autonomous ride-hail service but can also be adapted across various vehicle platforms and applications. With over ten million rider-only trips completed and extensive autonomous driving experience of over 100 million miles on public roads, our technology is revolutionizing transportation across 15+ U. S. states.
Your responsibilities will include:
- Designing, developing, modifying, and testing cutting-edge software for self-driving vehicle applications and associated products at Waymo.
- Building scalable machine learning systems to accurately model complex behaviors across various agents, environments, and scenarios.
- Utilizing both C++ and Python to seamlessly integrate machine learning models into our simulation pipelines.
- Maintaining, upgrading, and supporting existing code, as well as participating in the redesign and reimplementation of Waymo's software components.
- Creating automated workflows and applications to support Waymo’s self-driving software development and releases.
- Leading the development of ultra-realistic simulations through advanced machine learning techniques, including generative models.
- Providing vital support and guidance to release managers and product engineers to enhance code reliability, test infrastructure, and production systems.
- Developing software tools and frameworks to facilitate the maintenance and improvement of Waymo's software infrastructure, including monitoring and alerting systems.
- Formulating processes and strategies aimed at optimizing self-driving system efficiency and safety.
- Analyzing complex technical data and formulating strategic recommendations to resolve advanced technical challenges.
- Driving innovation in simulation realism to bolster the safety and performance of the Waymo Driver.
- Collaborating with AI research teams to transition state-of-the-art methodologies into robust, production-ready solutions.
