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, modify, and/or test software needed for various state-of-the-art self-driving vehicle applications and related products at Waymo. Duties include: Build scalable machine learning systems that model complex real-world behaviors across agents, environments, and scenarios. Work with both C++ and Python to integrate ML models into simulation pipelines. Use required technologies to support, maintain, and upgrade code and participate in necessary redesign and reimplementation of existing components of Waymo software applications; Support Waymo’s self-driving vehicle software development and releases by building automated release workflows and applications; Lead the development of ultra-realistic simulations using advanced ML techniques, including foundation and generative models. Provide key support and leadership to release managers and product engineers in improving Waymo code reliability, test infrastructure and production systems; Build software tools and frameworks to support the maintenance and improvement of Waymo software infrastructure, monitoring and alerting systems; Define processes and strategies to improve self-driving system efficiency and safety Evaluate complex technical data, develop strategic recommendations, and resolve advanced technical issues; Drive innovation in simulation realism to advance the safety and performance of the Waymo Driver. Collaborate with AI research teams to translate state-of-the-art methods into robust, production-ready solutions. You have: Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Engineering, or a related field and three years of work experience in the job offered or in a computer-related occupation. Position requires three years of experience in the following: Coding in C++ for real-time, multi-thread systems; Python, Object-Oriented Programming, data structures, algorithms, and numerical/scientific libraries (NumPy, Pandas) for data processing and automation; Machine Learning Frameworks including model architecture, debugging, and profiling using PyTorch, TensorFlow, or JAX/Flax; Machine Learning model integration in large production systems; Full model machine learning software development lifecycle from data preparation to deployment in scalable systems; Writing complex SQL queries for data retrieval, manipulation, schema design, and database optimization; Sensor and environment simulation modeling including designing and implementing integrated evaluation pipelines for complex simulation data; and Version control and software code reviews, testing, and documentation. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $240,000 - $259,000 USD Position reports to the Waymo Mountain View, CA office & may allow for partial telecommuting.