Principal Competitive CPU Performance Forecaster & Data Scientist

What you'll do

• Design and maintain a forecasting framework linking CPU architecture, memory, I/O, power, and workload kernels.
• Create performance, performance-per-watt, and price-performance forecasts with explicit confidence ranges.
• Build scenarios for uncertain competitor attributes such as frequency, core count, and software maturity.
• Track prediction errors by workload and model version to tune the forecasting system as data becomes available.
• Develop normalized competitive scorecards covering performance, efficiency, TCO, and roadmap credibility.
• Fuse benchmark results, performance counters, and partner telemetry while maintaining source provenance.
• Identify leading indicators that signal risks or opportunities for upcoming products.
• Create executive-grade visualizations and narratives to communicate forecast data and delta analysis.

What we're looking for

• Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a closely related field.
• Strong programming and data-analysis skills in Python or an equivalent analytical environment (preferred).
• Expertise in defining meaningful error metrics, calibration methods, and sensitivity analyses for sparse or biased data (preferred).
• Working knowledge of server CPU and system performance and willingness to engage with architectural causality (preferred).
• Experience with reproducible data pipelines, versioning, notebooks, scripts, and source provenance (preferred).
• Strong visualization, writing, and presentation skills for technical and executive audiences (preferred).
• Experience in CPU or GPU performance prediction, pre-silicon modeling, capacity planning, forecasting, or benchmark analytics (preferred).
• Proficiency in Bayesian modeling, Monte Carlo simulation, probabilistic programming, or uncertainty quantification (preferred).