Staff Software Engineer, Simulation Capacity Optimization

Our Simulation team is at the heart of this mission, enabling us to safely and rapidly iterate on the Waymo Driver. We run billions of miles of simulations, creating a massive and complex demand for technical infrastructure resources (CPU, GPU, TPU, Storage).

We are establishing a new team called SCORPIO (SimEval Capacity Operations, Resource Planning, Infrastructure Optimization). This team is tasked with building a critical capability for Waymo: data-driven, strategic capacity planning and resource optimization. We are looking for a Quant Software Engineer at the L6 level to bridge the gap between sophisticated mathematical modeling and production-scale infrastructure automation. You will be responsible for building the technical systems that forecast demand, optimize resource allocation, and automate infrastructure management, ensuring our simulation environment is both high-performance and cost-effective.

You will:

As the founding Lead Data Scientist of the SCORPIO team, you will:

• Infrastructure Modeling & Automation: Design and build production-grade systems and pipelines to automate capacity planning, demand management, and quota allocation.
• Quantitative Forecasting: Implement and maintain sophisticated models for infrastructure demand forecasting, incorporating architectural shifts, peak loads, and time-shifting opportunities.
• Resource Optimization Algorithms: Develop and deploy algorithms to optimize resource utilization across a heterogeneous fleet (CPU, GPU, TPU) and diverse supply models (on-demand vs. reserved).
• Data Pipeline Engineering: Architect and maintain robust data pipelines that ingest infrastructure telemetry and demand driver signals to feed forecasting and optimization engines.
• Outcome Analysis: Build systems to translate resource plans into tangible outcomes (e.g., queue lengths, user demand fulfillment) and develop attribution models for capacity imbalances.
• Cross-Functional Collaboration: Partner with Simulation, Infrastructure, and Finance teams to translate business requirements into technical specifications and automated solutions.
• Technical Leadership: Provide technical guidance on the intersection of quantitative modeling and systems engineering, mentoring junior members and influencing the technical roadmap for SCORPIO.

You have:

• Bachelor's degree in Computer Science, Mathematics, Statistics, Operations Research, or a related quantitative field, or equivalent practical experience.
• 8+ years of experience in software engineering, with a strong focus on distributed systems, large-scale data processing, or quantitative engineering.
• Proficiency in C++ or Python, with experience building and deploying production-level software.
• Experience with large-scale distributed systems and cloud infrastructure (e.g., GCP, AWS, Azure).
• Strong background in quantitative methods, such as optimization, statistical modeling, or time-series analysis.
• Expertise in SQL and working with large-scale data warehouses (e.g., BigQuery).

We prefer:

• PhD or Master's degree in a quantitative field or Computer Science.
• Experience in Capacity Engineering, Infrastructure Optimization, or Site Reliability Engineering at scale.
• Familiarity with ML-driven forecasting and optimization techniques.
• Experience with financial modeling or cost-benefit analysis of technical infrastructure.
• Experience building automation tools for resource management and quota allocation.
• Knowledge of simulation workloads or high-performance computing (HPC) environments.