Software Engineering • Mid-Level

Who you are

You have a strong background in software engineering with a focus on data pipelines and machine learning. You are experienced in designing and building scalable systems that handle large volumes of complex data, ensuring that datasets are reliable and high-quality for model training. Your expertise in Python and data engineering allows you to create efficient solutions that support the development of autonomous driving technologies.

You understand the intricacies of machine learning models and have experience working with various data types and sources. You are comfortable collaborating with cross-functional teams to ensure that data flows seamlessly from curation to model training. Your problem-solving skills enable you to tackle challenges related to data complexity and volume, making you a valuable asset to the team.

What you'll do

In this role, you will design, build, and maintain scalable data pipelines that process petabytes of sensor data, preparing it for model training and evaluation. You will develop infrastructure that produces reliable datasets for a wide range of machine learning models, from real-time on-car models to large-scale offboard foundation models. Your work will contribute to building an automated, unified data flywheel that connects data curation to model training, enhancing the efficiency of the model lifecycle.

You will collaborate closely with engineering managers and other team members to ensure that the data infrastructure meets the needs of the growing complexity of models. Your contributions will directly impact the performance and reliability of the Waymo Driver, helping to advance the mission of improving mobility and safety on the roads.

What we offer

Waymo offers a competitive salary range of $204,000—$259,000 USD, along with eligibility for annual bonuses and equity incentive plans. You will be part of a pioneering team in the autonomous driving industry, working on cutting-edge technology that has the potential to save lives. The company provides a supportive environment that encourages innovation and professional growth, with access to comprehensive benefits and resources to help you thrive in your career.