Senior Software Engineer, ML/Eval Data Platforms & Infrastructure

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.

• 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.

Nice to have

• Experience with A/B experiment infrastructure.
• Exposure to ad-hoc data analysis utilizing SQL.
• Prior experience working within the autonomous vehicle (AV) industry.