Software Engineering • Senior

Who you are

You have 5+ years of professional experience in backend engineering, databases, and production monitoring — you've developed and maintained large-scale data processing systems and understand the intricacies of handling petabytes of data. Your educational background includes a BS or MS in Computer Science, Computer Engineering, or a related field, providing you with a solid foundation in software development principles.

You possess deep expertise in Java and Python, having built robust applications that process large volumes of data efficiently — your experience includes designing low-latency streaming data processing platforms that enable real-time analytics. You are familiar with SQL and have a strong understanding of database management, ensuring data integrity and performance.

You thrive in collaborative environments, working closely with cross-functional teams in Perception, Planner, and Data Science — your ability to communicate technical concepts clearly helps bridge the gap between engineering and analytical use cases. You are proactive in identifying areas for improvement in existing systems and enjoy migrating legacy pipelines to modern infrastructure.

You are results-oriented, establishing service level objectives (SLOs) to measure the reliability and efficiency of your systems — your analytical mindset allows you to reduce operational toil and enhance the scalability of data processing jobs. You are passionate about leveraging technology to improve access to mobility and contribute to the mission of making autonomous driving a reality.

Desirable

Experience with cloud platforms such as AWS or GCP is a plus, as it enables you to deploy and manage applications in a scalable environment. Familiarity with data processing frameworks like Apache Spark or Kafka would enhance your ability to handle real-time data streams effectively.

What you'll do

In this role, you will develop and maintain a data processing platform that is critical for extracting signals from vast amounts of driving logs and simulation traces — your work will directly impact the performance and reliability of Waymo's autonomous driving technology. You will design and build low-latency streaming data processing systems that facilitate the real-time identification of critical driving events, ensuring that the Waymo Driver operates safely and efficiently.

You will collaborate with cross-functional partners to migrate legacy data pipelines to modern infrastructure, supporting new analytical use cases that enhance the capabilities of the Waymo Driver — your contributions will help improve the overall user experience and safety of autonomous vehicles. You will also work on establishing service level objectives (SLOs) for the signal generation infrastructure, focusing on reducing operational toil and improving system reliability.

Your role will involve continuous monitoring and optimization of data processing jobs, ensuring that they run efficiently and effectively — you will leverage your expertise in backend engineering to troubleshoot and resolve issues as they arise. You will participate in code reviews and contribute to the overall technical direction of the team, sharing your knowledge and best practices with colleagues.

What we offer

Waymo offers a competitive salary range of $204,000—$259,000 USD, along with eligibility for an annual bonus program and equity incentive plan — we value the contributions of our employees and strive to provide a rewarding work environment. You will have access to generous company benefits, including health insurance, retirement plans, and professional development opportunities.

Join us at Waymo, where you will be part of a mission-driven team dedicated to transforming mobility through autonomous driving technology — your work will have a direct impact on improving access to transportation and saving lives. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.