Senior Software Engineer, Waymo

• BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area
• 5 years of industry experience
• Python, especially for modeling and/or statistical computing
• Experience with tools for large-scale parallel compute and data manipulation (Apache Beam, SQL)
• Experience evaluating the quality of machine learning prediction at scale

Desirable

• The Planner Evaluation team works on one of the key challenges in autonomous driving: improving the quality of the software that drives the car. We are looking for quantitative-minded software engineers to help us understand and improve the performance of our ML and robotics systems
• In this hybrid role, you will report to the Senior Manager of Planner Evaluation
• Develop signals to measure the performance of large-scale machine learning models that power our self-driving car's behavior, using a range of techniques including statistics, math, physics, and machine learning
• Use simulation creatively to measure driving performance of novel ML algorithms
• Work closely with statisticians, machine learning engineers, and roboticists to develop novel solutions to open problems
• Build data pipelines for signal discovery, data labeling, feature extraction and metric computation based on large-scale simulations