Senior Data Scientist, Simulation Capacity Optimization
Core
Build production-grade systems for data-driven capacity planning, demand forecasting, and resource optimization to manage simulation infrastructure (CPU, GPU, TPU) at scale.
Role type
Senior IC data scientist (infrastructure optimization)
Builds
Automated capacity planning systems, demand forecasting models, and resource allocation algorithms
Domain
Autonomous driving simulation infrastructure
Deliverable
production ML models
Required skills
advanced statistical methods, optimization, time-series analysis, Python, SQL, ML systems
Preferred skills
capacity engineering, ML-driven forecasting, financial modeling, HPC environments
Responsibilities
Design and build pipelines to automate capacity planning and quota allocation; Implement demand forecasting models incorporating architectural shifts; Develop algorithms to optimize resource utilization across heterogeneous fleets; Architect data pipelines ingesting infrastructure telemetry; Build systems to translate resource plans into outcome metrics; Partner with Simulation, Infrastructure, and Finance teams to translate requirements into technical solutions
Seniority
Senior, hands-on IC
