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Waymo · PERM - N/A
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. You will: Design, develop, and deploy data pipeline, storage, and query infrastructure supporting autonomous driving training and evaluation; Write high-quality, testable, and maintainable code to ensure robust software performance; Participate in peer code reviews to uphold engineering standards and drive continuous improvement in development practices; Enhance existing systems for greater performance, scalability, and reliability across large-scale applications; Monitor system health and proactively resolve issues while providing technical support to internal users; and Collaborate with cross-functional teams including data scientists, product managers, and engineers to align data solutions with simulation, planning, perception, and commercialization needs. You have: Bachelor’s degree in Computer Science, Computer Engineering, Information Systems or a related field and 5 years of progressive post-baccalaureate experience in the job offered or or in a Software Engineering related occupation. Alternatively, the employer will accept a Master’s degree in Computer Science, Computer Engineering, Information Systems or a related field and 3 years of experience in the job offered or in a Software Engineering related occupation. Position requires 3 years of experience in the following: data structures and algorithms to optimize backend software performance and efficiency; backend systems and infrastructures for large-scale software applications; large-scale distributed systems and data processing frameworks; data processing frameworks to handle high-volume data pipelines; C++, Java, or Python; and SQL queries for relational database management and data retrieval. The expected base salary range for this full-ti