The opportunity
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…
What you'll do
You will architect best practices for risk assessment methodologies,: including publishing internal guidance on risk models, data sources and computation methods.
You will collaborate with domain experts to build robust risk assessments: with sustainable overhead for execution and flexibility in the face of an expanding product scope.
You will work with domain experts to define what test coverage is needed to: support ongoing risk assessments with regression protection and field monitoring.
You will connect with stakeholders, learn their pain points, and work to: unblock barriers to scale. You will streamline rate limiting processes, automate repetitive tasks, and develop tools to enable future projects.
You will familiarize yourself with tools available inside and outside the: team/company/industry to unlock increased scale without compromising on rigor.
You will champion and promote a robust safety culture and the continuous: improvement of the Waymo safety program across the engineering and operations organizations.
What they're looking for
- An advanced degree in Computer Science, Robotics, Engineering or other: relevant technical field OR 4 years of practical experience involving safety risk assessments and quantitative statistical methods.
- Experience in software engineering for simulation and data evaluation, using: Python or other high level language (e.g. SQL, R, C++)
- Direct experience developing risk models, sourcing and validating data, and: using findings to make decisions/recommendations.
- Strong foundation in the process of risk management, including the end-to-end: lifecycle of risk: identification, assessment, mitigation and acceptance of risk (e.g. following ISO 31000 or equivalent standards).
