Sr Staff Data Scientist, Simulation Capacity Optimization

Waymo Overview

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.

SCORPIO Team

We are establishing a new team called SCORPIO (SimEval Capacity Operations, Resource Planning, Infrastructure Optimization). This team will be at the forefront of ensuring the efficient and effective use of Waymo's large‑scale simulation compute, storage, and network resources. SCORPIO will develop the data‑driven models, metrics, and processes to forecast demand, plan capacity, and optimize resource allocation, ultimately improving developer experience and maximizing return on infrastructure investments.

What you’ll do (Responsibilities)

• Define the vision, strategy, and technical roadmap for data‑driven capacity planning and resource optimization within Waymo's simulation environment.
• Lead the development and implementation of sophisticated forecasting models to predict demand for heterogeneous TI resources (CPU, GPU, Storage, Bandwidth, RAM) across various time horizons and simulation workflows.
• Design, build, and maintain robust capacity models, key metrics, and insightful dashboards to monitor resource utilization, identify current and future bottlenecks, and inform investment decisions.
• Develop and propose actionable strategies for resource optimization, cost management, and risk mitigation to senior leadership, finance, and engineering teams.
• Collaborate deeply with Simulation, Infrastructure, Finance, Product Management, and Engineering teams to understand demand drivers, usage patterns, system changes, and their impacts on resource needs.
• Spearhead the design and development of automated systems for demand management, quota allocation, and resource reassignment to enhance efficiency and responsiveness.
• Provide data‑driven insights to influence the design of simulation products and user guidelines, promoting more efficient resource consumption patterns.
• Build and mentor a high‑performing team, potentially including data scientists, business analysts, and software engineers.

Minimum Qualifications

Preferred Qualifications

Salary Range

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.

$281,000—$356,000 USD

#J-18808-Ljbffr