Self Driving Eval Infrastructure Tech Lead

• World-class data analysis infrastructure is the bedrock of Waymo’s success. It is absolutely critical for:
• Validating the safety and performance of the Waymo Driver
• Accelerating research and development cycles across engineering, including Simulation, Onboard, and Machine Learning
• Enabling data-driven decisions for our commercial operations and product strategy
• Standardizing how we measure progress and compare performance across different contexts
• The insights derived from our data platforms directly influence every aspect of our technology and business. We are looking for an exceptional technical leader to drive the vision and architecture of these vital systems
• We are seeking an exceptional a Leader to provide technical leadership and architectural vision for the core data platforms that power Waymo’s insights and decision-making
• This role is pivotal in shaping how Waymo leverages data to understand complex scenarios, measure progress, and ultimately deploy and operate our autonomous technology safely and effectively across the globe
• You will be instrumental in tackling some of our most challenging data systems problems, from ensuring metrics consistency to building a scalable single source of truth for our ride-hail commercialization expansion
• Lead the architectural design and technical strategy for Waymo’s core data platforms, encompassing a “Single Source of Truth” data lake for Commercialization and “Metrics Portability and Standardization” for Driver Evaluations
• Establish and enforce comprehensive data governance frameworks across the data ecosystem, enabling easy data discoverability, and enhancing data quality
• Identify and address inefficiencies in the data development lifecycle. Drive initiatives to improve developer productivity, streamline workflows, and enhance the overall effectiveness of the data engineering and metrics development functions in Waymo
• Serve as a lead technical liaison, collaborating deeply with Simulation, Onboard, ML, and Commercialization teams to understand data needs, define data contracts, translate requirements into technical solutions, and ensure alignment on architectural direction
• Mentor senior engineers, guide critical technical decisions, and champion best practices in data engineering, including system reliability, efficiency, developer experience, and innovation to address new challenges

Benefits

• Medical, dental, and vision insurance for employees and dependents
• Employee assistance programs focused on mental health
• Personalized workplace adjustments for diverse needs and abilities, including physical, mental, and neurodivergent considerations
• Access to mental health apps
• Onsite wellness centers
• Counseling services
• Second medical opinion for you and your loved ones
• Support programs including menopause benefit
• Medical advocacy program for transgender employees
• Competitive compensation
• Regular bonus and equity performance grant opportunities
• Generous 401(k) and regional retirement plans
• Annual cross-company compensation review and pay equity analysis
• 1-on-1 financial coaching
• Fertility and growing family assistance
• Parental leave and baby bonding leave
• Backup childcare
• Survivor income benefit
• Elder care and support
• Caregiver leave
• Paid time off, including vacation, bereavement, sick leave, parental leave, disability, and holidays
• Jury duty leave
• Military leave
• Hybrid work model with remote work opportunities also available
• Educational reimbursement
• Peer learning and coaching platform
• Donation matching programs
• Volunteer hours
• Employee resource groups
• Internal community groups and local culture clubs
• Inspiring spaces to work, recharge, and collaborate with fellow Waymonauts
• On-site meals and snacks
• Fitness centers, massage programs, and ergonomic support
• On-demand fitness, wellbeing, and cooking classes
• Commuter benefits

• Expertise in data pipeline and query engine development and proficiencies in writing both SQL and one of C++/Java/Python code language
• Excellent communication skills, with the ability to articulate complex technical designs, trade-offs, and strategies to diverse stakeholders, including senior leadership and partner engineering, data scientists, and product teams
• Deep expertise in designing and implementing data governance principles, including metadata systems, data lineage, data quality frameworks, and data discoverability solutions at scale
• Proven track record of setting technical vision, driving multi-quarter roadmaps, and delivering impactful data projects as a technical lead for senior engineering teams, with demonstrated ability to influence across organizational boundaries
• Extensive experience architecting, building, and operating complex, large-scale distributed data systems (e.g., data lakes, lakehouse, data mesh, streaming platforms, query engines)
• Strong experience in designing and evolving data-centric APIs, schemas, and data contracts to ensure system interoperability, portability, and long-term maintainability
• Familiarity with data from autonomous vehicle operations, logistics, or ride-hailing business domains
• Experience with Google’s data infrastructure and tools such as F1 Query, Napa, Flume, Plx, or Google Cloud Platform (GCP) data services such as BigQuery, Cloud Dataflow, etc