Title: Senior Software Engineer, ML/Eval Data Platforms & Infrastructure Location: Mountain View, California, United States | San Francisco, California, United States Full-Time Software Engineering 4967 Job Description: 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 mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Planner Evaluation team works on one of the key challenges in autonomous driving: measuring and improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the Onboard software stack (Planner, Perception, etc). If you are passionate about autonomous vehicles and how to use rich, complex data to drive decision making, this is the role for you! This role follows a hybrid work schedule and reports to an Engineering Manager. You will: - Develop and productionize data pipelines to generate high-quality ML and evaluation datasets, streamlining curation, sampling, and slicing for training and testing the Waymo Driver software. - Design and implement robust tools and infrastructure for data mining, exploration, and analysis to extract insights from large-scale datasets and drive data-driven decisions. - Architect, build, and maintain large-scale data platforms to process Waymo driving logs and simulation data, ensuring dataset generation is fresh, accurate, and complete. - Own and execute complex projects, successfully translating ambiguous requirements into high-impact deliverables. - Collaborate cross-functionally with Data Science and Quantitative Analytics teams to identify their data needs and engineer infrastructure solutions. You have: - Education: Master's degree or PhD in Computer Science, Engineering, or a related technical field. - Experience: 3+ years of professional software engineering experience. - Distributed Systems: Hands-on experience with systems that ingest, store, transform, and output data at scale. - Programming Languages: Proficiency in C++ or Python within a production environment. - Communication: Strong technical communication and collaboration skills. We prefer: - Experience with A/B experiment infrastructure. - Exposure to ad-hoc data analysis utilizing SQL. - Prior experience working within the autonomous vehicle (AV) industry. #Hybrid The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000-$263,000 USD We appreciate your interest in Waymo. Waymo is proud to be an equal opportunity employer, committed to creating a culture of belonging and maintaining a supportive workplace for all employees. We welcome applicants of all backgrounds, and employment decisions are based on a candidate's qualifications, experience, and alignment with job requirements and business needs. Waymo does not discriminate against, and prohibits harassment of, any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, family status, pregnancy, genetic information or any other basis protected by applicable law. Waymo will also consider for employment qualified applicants with criminal records in accordance with applicable law. Waymo is committed to making sure our hiring process is accessible for all candidates.

• Own and deliver robust, high-scale routing experiences for the Data platform/ pipelines team for Twilio Segment. • Architect and operate always-available, complex distributed systems in cloud environments. • Guide technical decisions, articulating trade-offs between cost, performance, and reliability. • Translate complex technical strategies into actionable plans for diverse stakeholders, including Product Managers and Architects

• Design and deliver robust, high-scale routing experiences for the Data platform/ pipelines team for Twilio Segment. • Ship features that opt for high availability and throughput with eventual consistency • Collaborate with engineering and product leads, as well as teams across Twilio Segment • Support the reliability and security of the platform • Build and optimize globally available and highly scalable distributed systems • Be able to act as a team Tech Lead as needed • Mentor other engineers on the team in technical architecture and design • Partner with application teams to deliver end to end customer success.

• Implement new features, enhancements, and bug fixes across the integration platform — owning your work items from design through production under the technical direction of the Principal Engineer. • Write clean, maintainable, production-quality code across the integration stack — C#/.NET, Oracle SQL/PL/SQL, REST API services, file processing pipelines, and background job logic. • Build and maintain file-based integration logic — CSV and fixed-width parsing, PGP encryption/decryption, SFTP file transfer, archive management, and broker-specific file format handling. • Implement and maintain REST API endpoints and background processing pipelines under the architectural direction of the Principal Engineer. • Make database changes to support integration tasks — including schema updates, stored procedures, and SQL query development and optimization. • Participate actively in agile ceremonies — sprint planning, refinement, standups, demos, and retrospectives. • Leverage AI tooling actively throughout feature development — from accelerating implementation and debugging to generating tests and documentation.