About The Company
Waymo is a pioneering autonomous driving technology company dedicated to transforming mobility through innovative solutions. Established initially as the Google Self-Driving Car Project in 2009, Waymo has evolved into a leader in the autonomous vehicle industry. Our mission is to be the world's most trusted driver, leveraging cutting-edge technology to enhance safety, accessibility, and convenience for all users. The Waymo Driver, our core autonomous driving system, is designed to power fully autonomous ride-hail services and can be integrated across various vehicle platforms and use cases. With over ten million rider-only trips completed and more than 100 million miles driven on public roads across over 15 states, Waymo continues to push the boundaries of autonomous driving technology, backed by extensive simulation and real-world testing.
About The Role
We are seeking a highly skilled and experienced Data Scientist or Software Engineer to join our Planner Evaluation team. This team plays a vital role in ensuring the safety and reliability of Waymo's autonomous driving software. The primary focus of this role is to develop, validate, and manage safety metrics that are fundamental to assessing and improving the quality of the onboard software stack, including the Planner and Perception modules. You will collaborate closely with stakeholders across the organization to understand core use cases, analyze complex data, and provide expert insights to optimize metric design and interpretation. Your work will directly influence how Waymo evaluates its autonomous systems, ensuring they meet rigorous safety standards as the product expands into new platforms and territories. This hybrid position reports to a Data Science Manager and offers an exciting opportunity to impact the future of autonomous mobility.
Qualifications
Waymo is an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, age, religion, sexual orientation, disability, or any other protected characteristic. We believe that diverse perspectives drive innovation and are essential to our mission of building the most trusted driver in the world.
Waymo is a pioneering autonomous driving technology company dedicated to transforming mobility through innovative solutions. Established initially as the Google Self-Driving Car Project in 2009, Waymo has evolved into a leader in the autonomous vehicle industry. Our mission is to be the world's most trusted driver, leveraging cutting-edge technology to enhance safety, accessibility, and convenience for all users. The Waymo Driver, our core autonomous driving system, is designed to power fully autonomous ride-hail services and can be integrated across various vehicle platforms and use cases. With over ten million rider-only trips completed and more than 100 million miles driven on public roads across over 15 states, Waymo continues to push the boundaries of autonomous driving technology, backed by extensive simulation and real-world testing.
About The Role
We are seeking a highly skilled and experienced Data Scientist or Software Engineer to join our Planner Evaluation team. This team plays a vital role in ensuring the safety and reliability of Waymo's autonomous driving software. The primary focus of this role is to develop, validate, and manage safety metrics that are fundamental to assessing and improving the quality of the onboard software stack, including the Planner and Perception modules. You will collaborate closely with stakeholders across the organization to understand core use cases, analyze complex data, and provide expert insights to optimize metric design and interpretation. Your work will directly influence how Waymo evaluates its autonomous systems, ensuring they meet rigorous safety standards as the product expands into new platforms and territories. This hybrid position reports to a Data Science Manager and offers an exciting opportunity to impact the future of autonomous mobility.
Qualifications
- PhD in Statistics, Mathematics, Physics, Computer Science, Robotics, or a related quantitative field
- 7+ years of industry experience in data science, software engineering, or related roles
- Strong communication and leadership skills to coordinate across multiple teams and projects
- Exceptional data analysis skills with a focus on metric validation and simplification
- Proficiency in programming languages such as C++, Python, and SQL
- Experience designing and implementing A/B experiments and statistical evaluations
- Ability to translate ambiguous business requirements into effective technical solutions
- Design, develop, and validate driving behavior metrics to assess autonomous system performance
- Build datasets using simulations and real-world data for model training and metric validation
- Develop and execute A/B experiments to compare different software versions and evaluate improvements
- Collaborate with stakeholders to understand their needs and provide expert recommendations on metric interpretation and evaluation
- Validate and refine metrics to ensure robustness across diverse platforms and geographic regions
- Ensure metrics are aligned with safety standards and support continuous system improvements
- Engage in rapid data analysis and prototyping to support decision-making processes
- Competitive salary within the range of $238,000 to $302,000 USD, commensurate with experience and location
- Participation in Waymo’s discretionary annual bonus program and equity incentive plan
- Comprehensive health, dental, and vision insurance coverage
- Generous paid time off and flexible work arrangements
- Opportunities for professional development and continuous learning
- Access to cutting-edge autonomous driving technology and innovative projects
Waymo is an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, age, religion, sexual orientation, disability, or any other protected characteristic. We believe that diverse perspectives drive innovation and are essential to our mission of building the most trusted driver in the world.