Principal Competitive CPU Performance Forecaster & Data Scientist
Core
Design and maintain a quantitative forecasting system to predict competitive server CPU performance, efficiency, and price-performance with explicit confidence ranges before products reach the market.
Role type
Principal data scientist and performance engineer (competitive forecasting)
Builds
Forward-looking predictions, scenario analyses, and executive-grade visualizations for competitive server CPU strategy
Domain
Semiconductor industry, CPU architecture, server performance, and competitive intelligence
Deliverable
production ML models
Required skills
quantitative forecasting, statistical modeling, Python, CPU architecture knowledge, scenario analysis, error tracking, visualization, technical writing
Preferred skills
Bayesian modeling, Monte Carlo simulation, uncertainty quantification, reproducible data pipelines, TCO analysis, cross-ISA analysis, pre-silicon modeling
Technologies
Python, benchmarking tools, performance counters, data versioning systems
Responsibilities
Design forecasting framework linking CPU architecture and workload behavior; Create performance and price-performance forecasts with confidence ranges; Build scenarios for uncertain competitor attributes; Track and decompose prediction errors; Develop normalized competitive scorecards; Fuse benchmark results and partner telemetry; Identify leading indicators for forecast changes; Partner with architecture leads on experiments; Build executive visualizations; Write quarterly forecast narratives
Seniority
Principal, hands-on IC with strategy & mentorship
