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Develop infrastructure for a virtual driver's test for autonomous vehicles, improving simulation workflows using ML models and evaluating driving behavior.

Define Waymo’s global data lake architecture roadmap and lead the transition to a scalable, production-grade analytical ecosystem. Govern cross-domain pipelines, enforce lakehouse and DAG standards, chair data design reviews, and develop self-service managed pipeline frameworks. Integrate privacy, access control, and compliance into the platform while influencing engineering, data science, and executive stakeholders. The role requires deep expertise in multi-petabyte data platforms, distributed processing, data governance, and organizational maturity transitions.

Build production systems for simulation infrastructure capacity planning and resource optimization. Responsibilities include demand forecasting, quota allocation, optimization algorithms, telemetry data pipelines, outcome analysis, and automation across CPU, GPU, and TPU resources. The role partners with Simulation, Infrastructure, and Finance teams, provides technical leadership, and mentors junior staff.

Lead signal and power integrity engineering across product development, including SIPI planning, stack-up specifications, layout audits, simulation, lab measurements, model correlation, and design sign-off. Collaborate cross-functionally to resolve hardware issues and improve SI/PI workflows. The role also involves debugging, research into advanced technologies, and potentially automating workflows with Python or Tcl.

Lead development of multi-sensor, multi-task machine learning models for autonomous driving perception, including object detection, occupancy prediction, road understanding, and trajectory planning. Architect foundational modeling libraries, sensor fusion components, temporal aggregation systems, and scalable experimentation pipelines. Optimize models for latency, throughput, memory, and onboard hardware constraints while enabling rapid prototyping and analysis of model training and learned representations.

Manage Operations financial planning processes, forecasts, variance analysis, financial models, and business reviews. Partner with Operations, Product, Data Science, and Accounting teams to assess investments, optimize resources, measure ROI, improve forecasting accuracy, and drive accountability. Translate complex data into strategic insights and influence leadership decisions regarding long-term operational investments and growth strategies.

Lead public relations strategy and communications operations for Waymo’s autonomous driving technology. Build scalable media, resource, and reporting processes; coordinate press events and demonstrations; manage agencies, vendors, budgets, and partnerships; support spokesperson training and executive briefings; and collaborate with product, engineering, policy, and business teams. The role develops communications strategies for products, market launches, and rapid-response situations while strengthening public understanding, adoption, and reputation.

Lead the reliability product roadmap for Waymo’s autonomous driving system. Define evaluation methods for hardware and software failures, develop onboard solutions and testing strategies, mitigate field issues, and build reliability systems for new vehicle platforms, regions, weather conditions, and operational design domains. Partner cross-functionally with data scientists, engineering, and product teams to establish long-term vision and actionable plans for safe, scalable autonomous driving.

Lead executive and investor reporting, build presentation materials, manage leadership review calendars, and coordinate FP&A inputs. Partner with Engineering and IT to define finance data and systems requirements and establish a single source of truth. Develop managerial reporting for contribution margin and unit economics, automate manual processes, build cash flow and three-statement models, query financial data, and translate complex analyses into executive-ready insights.

Manage and mature operational risk and safety infrastructure by publishing playbooks, monitoring risks, leading root-cause investigations, maintaining risk registers, and translating operational data into product roadmap requirements. The role requires systems thinking, workflow optimization, Safety Management Systems knowledge, structured requirements tracking, and strong cross-functional communication. Experience in autonomous vehicles or other safety-critical industries is preferred, along with predictive indicators and root-cause analysis methodologies.